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DATA REPORTING GAP

SUSTAINABLE DEVELOPMENT GOALS (SDGs)

PAKISTAN'S PERSPECTIVE


PAKISTAN'S PERSPECTIVEDATA

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DRAFT REPORT - For Review

December 2017

DATA REPORTING

GAP



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“SDGs encompasses a universal, transformative and integrated agenda that heralds an historic turning point for our world. This is the People's Agenda, a plan of action for ending poverty in all its dimensions, irreversibly, everywhere, and leaving no one behind. It seeks to ensure peace and prosperity, and forge partnerships with people and planet at the core. The integrated, interlinked and indivisible 17 Sustainable Development Goals are the people's goals and demonstrate the scale, universality and ambition of this new Agenda.”


PAKISTAN'S PERSPECTIVE

[Former UN Secretary-General Ban Ki-moon]

DRAFT REPORT - For ReviewDecember 2017

Federal SDGs Support UnitMinistry of Planning, Development and Reforms

Prepared By:

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The data reporting gap exercise was initiated one year ago, with an initial assessment exercise (Annexure II) conducted in collaboration between UNDP and the Planning Commission. The objectives of the exercise were, (i) To examine data availability for each indicator; (ii) To examine data availability at the disaggregated level; and, (iii) To develop a fact sheet for each indicator at the possible disaggregated level.

Initiated in May 2017, this report is one step further to the initial assessment exercise. It is prepared using existing national databases. The initial phase involved populating datasheets on each SDG indicator, both at the national and provincial levels. During the assignment, there were several obstacles debated upon, including identifying various sources of data, as well as devising an action plan for instances where requisite data wasn't available.

Following the Global Tier System, a coding system was devised for each indicator, that aided in identifying efforts needed to fill the data gap on SDGs. It is safe to say that this report may serve as a guiding document for everyone to reduce the data reporting gap. It will eventually help in monitoring SDG achievements till 2030.

Preface



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Tableof ContentsChapter 1: Introduction

Chapter 2: Methodology 2.1 Analysis of Data Availability

2.3 Multiplicity of Data Sources

Chapter 3: Unveiling the Exercise 3.1 Identification of Preferred Source

3.2 Role of Data Reporting Agency

3.3 Identification of the Role of Lead Ministries

3.4 Role of International Organizations

Chapter 4: The Long Haul: Government Endeavor Towards Reporting of SDGs Indicators 4.1 Institutional Coordination

4.1.1 PBH

(a) Education

(b) Health, Nutrition and Gender Equality

(c) Water & Sanitation

(d) Poverty, Labour and Employment

4.1.2 Miscellaneous Organizations

4.2 Streamlining of National Survey Instruments

Chapter 5: The Way Forward

5.1 Use of Technology for Data Collection

Annexure I Table 1: Data Gap Analysis for Sustainable Development Goals Indicator Summary by Goal

Table 2: Indicator Summary by Preferred Source

Table 3: Indicator Summary by Reporting Agency

Table 4: Indicators Summary by Lead Ministry

Table 5: Detailed Data Gap Analysis for all Sustainable Development Goals

List of Figures



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Figure 1: Data Reporting Gap Analysis -Overall

Figure 2: Efforts Required to Reduce Data Reporting Gap - Summary

Figure 3: Goal wise Availability

Figure 4: Indicator Availability by Goal - Tier 1



Figure 7: Availability of Indicators by Disaggregation

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Acronyms

CRVS

HIES

HMIS

IAEG

ICT

ILO

LFS

MDGs

MICS

MNCH

MoF

MoPD&R

MoIT

MoST

NADRA

NCDs

NDMA

NEAS

NEMIS

PBS

PDHS

PDMA

PMDC

PSLM

PSU

SDGs

SIDS

UN

UNDP

UNESCO

UNICEF

UNSC

WASH

WB

WHO

Civil Registration Vital Statistics

Household Income and Expenditure Survey

Health Management Information System

Inter-Agency Expert Group

Information and Communication Technology

International Labour Organization

Labour Force Survey

Millennium Development Goals

Multiple Indicator Cluster Survey

Maternal, Newborn and Child Health

Ministry of Finance

Ministry of Planning, Development and Reform

Ministry of Information Technology

Ministry of Science and Technology

National Database Registration Authority

Non-communicable Diseases

National Disaster Management Authority

National Education Assessment System

National Education Management Information System

Pakistan Bureau of Statistics

Pakistan Demographic and Housing Survey

Provincial Disaster Management Authority

Pakistan Medical and Dental Council

Pakistan Social and Living Standard Measurement

Primary Sample Unit

Sustainable Development Goals

Small Independent Developing States

United Nations

United Nations Development Program

United Nation Education, Scientific and Cultural Organization

United Nation International Child Emergency Fund

United Nations Statistical Commission

Water, Sanitation and Hygiene

World Bank

World Health Organization



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Introduction

1. IAEG uses four tiers to classify reporting difficulty; these codes are 1, 2, 3 and 8. Codes 1, 2 and 3 show the rising level of reporting difficulty while 8 shows the irrelevance of an indicator in the local context or its application only at the global or regional level. Available at https://unstats.un.org/sdgs/iaeg-sdgs/tier-classification/

Transformative in nature, the Sustainable Development Goals (SDGs) aim to promote and ensure intergenerational equity so that future generations may live better, improved lives. “Leaving no one l e f t b e h i n d ” a n d e n s u r i n g “sustainability” are the core foundations for the SDGs. These are translated into seventeen goals centered around the five P's: People, Prosperity, Planet, Peace and Partnership. These goals were formally adopted in 2015 as National Development Goals, following which federal and provincial governments have started mainstreaming SDGs into national and sub-national plan-ning.

1.1 Objectives of Study

This detailed data gap analysis serves as the initial point for the mainstreaming of the SDGs. The objective of this exercise is two-pronged. The first part involves conducting a detailed analysis of Pakistan's data ecosystem vis-à-vis reporting needs. The second is to create baselines so that provin-cial and federal governments may use this information in their result-based management endeavors for

public sector plans. Moreover, the outputs of this report will also be of use to relevant stakeholders to review and analyze the current situation. Subsequently, this will lead to clarity and facilitation in the national as well as provincial decision-making process, for assigning various functions of data generation and usage.

At the outset, it should be borne in mind that this exercise is about investigating actions leading to reducing the reporting gap. So essentially, it is a progressive exercise and not a post mortem exercise. The entire exercise is a desk review, vetted through an intensive consultative process. Each SDG indicator is analyzed for the extent of effort that is required to report on the relevant target. Guidance for classifying the 'effort level' is taken from the global tier system devised by Inter-Agency Expert Group (IAEG), however this taxonomy is custom-ized to gain clarity for actions needed to reduce data gaps. Compared to the four codes used by IAEG, this exercise uses ten codes. Tier 1 and Code 1 are the same, while Tier 2 is further divided into 2a, 2b, 2c, and 2d.

Chapter 1



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2. Major lead ministries include Ministry of Finance; Ministry of National Health Services, Regulations and Coordination; Ministry of Climate Change; Ministry of Planning, Development and Reform; Ministry of Overseas Pakistanis and Human Resource Development; Ministry of Federal Education and Professional Training; Ministry of Interior, and provincial ministries of education, health, water supply and sanitation, rural development, road and infrastructure.



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Similarly, Tier 3 is further divided into 3a, 3b, 3c, and 3d. Each code captures the rising level of report-ing difficulty, and 8 means irrelevance.

The exercise has culminated into detailed results and summary sheets, which present the status of data availability; the extent and type of effort needed; responsible lead ministries, reporting agencies, UN agencies and multilateral organizations other than UN; institutional sources of data, and other sources of data including survey data.

1.2 Main Findings: A Summary

The gist of this exercise is that Pakistan's data ecosystem is not in a very bad state vis-à-vis SDGs' reporting needs. Pakistan fares reasonably well in capturing the inclusion and equity aspects of SDGs but needs substantial improvement in the sustainability aspects of goals, specifically related to natural resources, biodiversity, urban life, climate change, WASH and peace and justice. Moreover, reporting on the qualitative aspects of SDGs in

general is also an area that requires improvement.

Altogether, out of 244 indicators, 43 are global indicators for which clarity on the role of national statistical organizations is mini-mal. Out of the remaining 201 indicators, half are either avail-able, or minor effort is needed to make them available. The other half requires major efforts that entail detailed consultations with relevant stakeholders, institutional coordination and new surveys. Data availability for indicators of goals concerning poverty, zero hunger; quality education; gender equality; affordable and clean energy; decent work and economic growth; and industry innovation and infrastructure, is significant, with reporting ranging between 50 percent and 80 percent. However, the situation does not bode well for goals relating to clean water and sanitation; reduced inequalities; sustainable cities and communi-ties; responsible consumption and production; life on land; life below water, and peace and justice. The reporting of indicators in these ranges between 0 percent and 38 percent, thus leaving a large reporting gap.

Ministries occupy a pivotal role in creating demand for data relevant to their respective goals and targets. This demand is triggered by embedding a results based framework in policies and plans developed by them. In order for this report to be useful, it is

2important that relevant ministries take a leading role in indicator monitoring and then use it to develop subsequent policies to monitor progress on SDGs.

1.3 Structure of Report

The report comprises of five chapters. chapter two elucidates methodology; chapter three summarizes the required effort by goal, by lead ministry/division, by source and by reporting agency; chapter four outlines government endeavors towards reporting of SDGs indicators; and finally, the last chapter concludes the report by suggesting several measures to reduce the data reporting gap on SDGs.

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The core objective of the data gap analysis is to suggest actions required to reduce the SDGs reporting gap. The indicators differ in their reporting; few are reported at the global level, while most are country specific. Certain indica-tors depend on their socioeco-nomic and geographical peculiar-

3ity. Considering these aspects is impor t an t wh i l e ana lyz ing reporting gaps and developing a way forward for narrowing these gaps.

2.1 Analysis of Data Availability

The UNSC has published metadata 4for most of the indicators post

consultations with the IAEG-SDGs. The metadata provides a detailed overview of the proposed indicator with the purpose of reporting, definition by global agency and method of computa-tion along with the level of disaggregation. It also identifies different data sources and pro-poses new methods of data collection.

Work on the mapping of indicators on data availability was conducted in two phases. The analysis in the

first phase was a post mortem based on the IAEG tier system. The coding of data sources was classified in four distinct codes that are as follows:

1. Data is available on a regular basis and standards are also available;

2. Data is not available on a regular basis but standards are available;

3. Neither data nor standards are available; and,

8. Indicator is not relevant.

This exercise revealed some notable findings of data availabil-i t y a t d i f f e r e n t l e v e l s o f disaggregation. At the federal level, 52 percent of the indicators were assigned code 1, 13 percent were assigned code 2 and 33 percent were assigned code 3. Only two percent of the indicators were found to be not relevant at the federal level. From a data avail-ability perspective, the most desirable code among these four codes was code 1. However, the situation deteriorates as we move to sub-national (provincial) and especially, local levels (district). At the provincial level, the highest percentage (39 percent) was assigned code 3. This suggests that

a lot of effort has to be made so as to make these indicators available for reporting, considering that they have to be established first, only after which data can then be made available. At the district level, only 11 percent of the indicators are available on a regular basis with standards (code 1).

2.2 Classification of codes: New and old approaches

While the IAEG tiered approach is useful, its limitation lies in the fact that it relies upon the availability of standards as one of the major aspects of classification. This would mean that for the 62 indicators for which metadata does not provide any guidance for computation, standards would not be not available as a result. Of these, 17 can be reported using national data definitions, while survey data is available for several others. This means that the number of indicators for which metadata is not available falls to 44. Of these 44 indicators, 19 are to be reported at the global level for which national statistical organizations do not have a major role. So the number of indicators for which

Methodology

Chapter 2

3. For example, least developed countries, landlocked and small island countries.

4. Meta data on 62 indicators is not available. For further reading, please refer to “Compilation of Metadata for the Proposed Global Indicators for the Review of the 2030 Agenda for Sustainable Development.” Available at https://unstats.un.org/sdgs/iaeg-sdgs/metadata-compilation/



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metadata is not available while national statistical organizations are responsible for reporting them is only 25 - a very small number compared to the total of 244 indicators (10.2 percent). This shows that unavailability of metadata is not the limiting factor, and is redundant in determining actions to reduce reporting gaps at the national and sub-national context.

Using these insights, IAEG-SDG codes are expanded into new codes' classification in accordance with the level of effort needed to obtain data. The IAEG classifica-tion codes were more status-oriented, while the new codes are designed to be action-oriented. Nonetheless, the new codes can easily be compared with the global tier system. This was crucial to ascertain the quantum of work required to fill al l exist ing reporting gaps and to develop an actionable agenda to improve reporting on SDG indicators.

Following are the new classifica-tion of codes for data gap analysis:

After a thorough review of all existing and potential sources of data in Pakistan, each indicator

was assigned one of the above ten codes to capture the action required to bring reporting close to the standards defined in the SDGs metadata.

Code 1 is assigned to the indicators where standards are available, data and reporting structures are already present, and the indicator is reported regularly, thus no action is required. Code 2a is assigned to indicators where standards are available, data is also available, but computation is required to obtain the indicators. Similarly, code 2b is assigned to those indicators where standards are available but data is reported irregularly. Code 2c is assigned to those indicators where standards are available, data is not available but can be obtained by adding a question or rephrasing certain questions in the existing surveys, thus requiring minor effort. Code 2d is assigned to those indicators where standards are available, data is not available and adding a new module in the existing surveys or introducing new surveys is required, thus the need for major

effort to cover the reporting gap.

Following Tier 3, Code 3a is assigned to those indicators where standards are not available but data is reported by a few international agencies, such as WHO that reports regularly on 3.9.1, 3.9.2 and 3.9.3, as well as SBP that has data on 10.5.1, and IMF that has the methodology to compute certain indicators. Similarly, code 3d is assigned to those indicators where standards are not available but national standards are avail-able, such as GDP per capita that is calculated using a system of national accounts by the PBS. Code 3b is assigned to those indicators where standards are not available and data is also not available but can be obtained by adding a question or rephrasing certain questions in existing surveys, thus requiring minor effort. Unlike 2c, however, we have significant issues of setting standards for the indicators. Code 3c is assigned to those indicators where standards are not available, data is not available and adding a new module in the existing surveys or introducing new surveys is required, thus requiring major effort to cover the reporting gap. Several significant consultation sessions with stakeholders are requisite in order to set standards as well as to obtain the indicators.

Finally, Code 8 was assigned to indicators that were global in nature, and therefore did not require national level reporting. This code is identical to Code 8 in the IAEGs coding scheme.

2.3 Multiplicity of Data Sources

The survey data sources for several goals have substantial overlaps and duplications, which provide an opportunity to increase SDG report ing while gaining on efficiency and coverage. For example, in Goal 2, several targets related with malnutrition are reported by MICS as well as by PDHS. However, PDHS reports at

Definition Codes

Standards available data available

Standard available computation required

Standard available data irregularly available

Standard available, data not available, minor effort

Standard available, data not available, major effort

Standard not available, data is reported by few agencies

Standard not available, data not available, minor effort

Standard not available, data not available, major effort

Standard not available, data is reported, national standards are available

Global Indicator

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2b

2c

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3b

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the provincial level, while MICS reports district level indicators. In Goal 3, the potential choices for targets related with mother, child and infant mortality reporting can be MICS, but PDHS is also reporting these indicators. For Goal 4, targets related with the supply side of education can be reported by PSLM or EMIS or both. For education quality, NEAS and ASER can both be considered, where the former is produced by the public sector and the latter by the private sector. They do differ in coverage, therefore the inclusion aspect may be the primary factor in preferring one over the other. The same holds true for labor market indicators, where PSLM and LFS

are both potential sources, but PSLM coverage is limited to the district level, while LFS covers only the provincial level.

Survey data sources differ in their regional coverage; demographic group coverage; disability and vulnerability coverage; and, income group coverage. SDG indicators being inclusive, require reporting on these dimensions. Therefore, capability or potential capability of national data sources to produce the required level of disaggregation forms the objective basis of comparison and prefer-ence. Regularity of data is the other major factor for preferred choice.

These criteria are applicable to most of the survey data sources, especial ly those which can primarily be used to report on Goals 1, 2, 3, 4, 5, 8 and 10. These goals capture social, human and economic equity. Other goals, such as Goals 6, 7, 8 and 9, require a mix of survey and institutional data for reporting, while the remaining goals, such as Goals 11, 12, 13, 14, 15, 16 and 17, require more i n s t i t u t i o n a l r e p o r t i n g . Notwithstanding this, the “Means o f I m p l em en t a t i o n ” ( M o I ) indicators for almost all the goals require institutional reporting. These aspects make the data gap exercise exploratory in nature.



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The availability of precise data is a p re requis i te fo r measur ing development outcomes. Most of the projects/initiatives in develop-ing countries like Pakistan have failed or discontinued owing to the absence of timely and accurate information about tangible and intangible benefits. This has also hampered the development process as the unavailability of d a t a h a s r e s u l t e d i n t h e misallocation of valuable public resources. Therefore, collection and timely dissemination of information could vastly improve the decision-making and measur-able outcomes of government initiatives.

The data generation, collection, analysis and reporting is a complex task that requires specialized training and capacity of human resource. While collection of information has remained quite active on part of most ministries and divisions, however a lack of sharing it regularly has caused bottlenecks. This has led to a reduced loss of appetite for informed decis ion making. Another impediment is the lack of appropriate mechanisms for data flows among different government ministries and departments, which has compromised institutional strengthening and capacity of line ministries and statistical organiza-tions to collect and timely dissemi-

nate required data for informed decisions.

As discussed in the previous chapter, data gap analysis requires several steps. The first step includes identifying the sources of data collection for each indicator along with a need for computation, minor data collection effort and major data collection effort. Minor data collection effort implies alterations in the phrasing of survey questions according to the SDG indicator, or adding new questions relevant to the SDG indicator in the existing surveys. Major data collection effort requires comprehensive consulta-tion with relevant stakeholders including international develop-ment agencies , government agencies, CSOs and INGOs working on various SDGs indica-tors, as well as data collection and reporting agencies. This discus-sion will decide whether to add sets of questions in a questionnaire, and/or add modules in existing questionnaires, and/or conduct separate surveys. Furthermore, consultation is also required where standards are not available (Tier 3 or Code 3a, 3b, 3c and 3d).

Table 1-Annexure summarizes the codes for the seventeen goals. Out of 244 indicators, 43 (18 percent) are global, therefore percentages computed in the last column of

Table 1-Annexure are done by dividing with 201 Following the change in denominator, out of 201non-global indicators, 49.75 percent are either available; or computation is required; or can be available with minor efforts; or national standards are available, i.e., codes 1, 2a, 2b, 2c, and 3d (see Figure 1). Indicators requiring significant efforts were 40.8 percent (Codes 2d, 3b, and 3c), while more significant effort is needed for those variables (code 3a - 9.5 percent) that are not concep-tually clear, as well as whose method of computation and other explanation is not provided in the metadata, except that a few organizations are reporting them regularly. For instance, WHO reports regularly (on i.3.9.1, i.3.9.2 and i.3.9.3); SBP has data on Financial Soundness Indicators (i.10.5.1); and, IMF houses the methodology to compute it.

Figure 2 (Table 1-Annexure) presents a goal-wise situation vis-a-vis reporting gaps. Results in Figure 2 and Figure 3 need to be read jointly to determine the role of national statistical organizations and required action. For example, in goal 17, data availability without including global indica-tors, is 87.5 percent, but drops substantially after including global indicators. This implies that in Goal 17, data on most of the

Unveiling the Exercise

Chapter 3



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Figure 1 : Data Reporting Gap Analysis - Overall

11.44

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Figure 2 : Efforts Required to Reduce Data Reporting Gap – Summary

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indicators is available. Similarly, Figure 3 shows 100 percent availability of Goal 13, because six out of seven are global indicators while the remaining one requires

5computation. Besides Goal 17, most of the indicators of Decent Job and Economic Growth (Goal

8), Gender Equality (Goal 5) and Education (Goal 4) are available, followed by Industry, Innovation and Infrastructure (Goal 9), Affordable and Clean Energy (Goal 7), No Hunger (Goal 2), Health and Well-Being (Goal 3) and Poverty (Goal 1). This implies

that the overall situation of data availability is not very grim despite the low percentage of availability in Goal 6, Goal 10, Goal 12, Goal 14, Goal 15 and Goal 16. The situation will further improve after consultation with stakeholders.

5. 13.1.2 Number of deaths, missing persons and persons affected by disaster per 100,000 people



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Figure 3: Goal Wise Availability

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Pertinent ministries and institu-tions, based on their functional responsibilities and mandates, are assigned relevant tasks related with the demand and supply of data for SDG indicators. After the 2010 devolution, most sectors have been transferred to provincial govern-ments, bringing the policy and planning of these sectors under the purview of provinces. Most of the goals map uniformly on depart-ments; however, there is some variation in mapping.

The lack of a results-based management (RBM) culture is another issue that obscures the role of ministries and institutions. Mid-term and short term plans are given due diligence whilst setting targets, which in turn raise demand for resources. In situations when sub-optimal measures are used, generated data is not timely communicated or demand for

precise data is weak, thereby not fostering the culture for RBM. Thus, the roles, responsibilities and resources related to data generation and data use are not amply rooted in public sector planning. This makes the identifi-cation process cumbersome and more intensive. Sincere and intensive efforts have been made to assign these roles to ministries, departments, and institutions, however these endeavors are open to improvement.

Another aspect making identifica-tion a challenge is the qualitative nature of data reporting. Unlike MDGs, SDGs require qualitative data, for example, quality educa-tion, affordable health, sustainable production etc. To capture the qualitative aspect of indicators, the definition of each indicator needs to be reviewed, unanimously decided by all stakeholders and

their computation procedure should be clearly communicated. For instance, data on numeracy skills to examine the quality of education is collected by PBS as well as by the National Education Assessment Survey (NEAS) and ASER. Each reports a different indicator value due to differences in the methodology of collecting and computing the indicator. Thus, it is necessary to come up with unified definitions to overcome the problems of multiplicity and/or identify one significant source that should be followed across the board.

Following the spirit of SDGs; farthest behind first and leaving no one behind data is required at the disaggregated level. Figure 7 summarizes the need for data at the disaggregated level by global, national, provincial and district.

Figure 7 : Availability of Indicators by Disaggregation

National Province District Global

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Note: These values are output of intensive desk review which can be changed after through consultations with provinces and other stakeholder

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3.1 Identification of Preferred Source

Preferred source is identified after analyzing current data availability followed by the decision taken by the thematic committees at the PBS and NIPS. These decisions have been taken to narrow report-ing gaps and improve coverage by expanding and balancing upcom-ing surveys. Table 2-Annexure summar izes the number of indicators currently associated with each source. Out of 244 indicators, 44 indicators are not applicable. Among the rest, 70 will be available from survey data and 72 will be available from institu-

6tional sources. MICS and PSLM cover 29 and 28 indicators respec-tively, while 4 indicators would be computed using PDHS and LFS

7each.

Apart from survey base data sources such as MICS and PSLM, other major sources of data include institutional and service data. For instance, the Economic Affairs Division is covering 10 indicators; Pakistan Economic Survey and var ious departments of the Ministry of Finance are covering 7 indicators each; other sources of the Finance Division are covering 7 indicators, while SBP is covering

84.


In Pakistan, three major classifica-tions of data are used for the

analysis of performance and assessment of output for interven-tion. These include primary data, published secondary data and unpublished secondary data. The prime responsibility of data collection, analysis and reporting rests with PBS, which works under the Statistics Division. PBS computes and reports several important indicators. Moreover, PBS also collects data from different government departments as well as data used in their published reports. Several other Government departments also provide published data such as banking statistics, data on money supply and balance of payments is published by SBP. Furthermore, AEPAM published a report on the quality of education derived from their own survey. Similarly, PDMA reports deaths, injuries and affectees due to disaster. Table 3-Annexure shows number of indicators associated with differ-ent reporting agencies. The leading agency is PBS, which covers 48 indicators.


By forming policies based off relevant SDG indicators, the role of the lead ministry remains vital in achieving the SDGs. Hence, each ministry is actively involved in steps of finalizing their respective indicator. Table 4-Annexure shows a list of lead ministries along with the number of indicators they need to monitor. Ministry of Finance

and Ministry of Health Services, Regulations and Coordination take the lead, with a monitoring of 38 indicators.

3.4 Role of International Organizations

In addition to the role of ministries, several international agencies also shoulder the responsibility for numerous indicators. For instance, UNFAO leads for indicator 2.1.1-Prevalence of undernourishment. The role of international organiza-tions in SDGs data reporting is pivotal, allowing data collection and reporting institutions to gain advantage from the technical expertise of these organizations. Apart from facilitating the govern-ment in setting standards or protocols for data collection and analysis, these organizations should emphasize on the preci-sion/accuracy of data and engage the government during earlier discussions on methodologies for instance. There is tremendous potential for training in statistical departments, which would in turn help improve data quality and organizational capacity of these institutions. International organi-zations can play a major role in augmenting the technical, organi-zational and institutional capacity of the statistical institutions.

6. Various questions to compute SDG indicators are included in the questionnaire of PSLM, MICS etc which will be available when the next survey report publishes

7. A complete list of other surveys covering different indicators are included in Table 2-Annexure.

8. List of other institutions covering different indicators are included in Table 2-Annexure.



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Government Endeavor towards Reporting of SDGs Indicators

The act ive response of the Government of Pakistan towards the reporting of the SDGs displays their perennial commitment and seriousness for the cause. The robust data ecosystem, once created, will improve efficiency and may contribute towards an effective result based management system.

Based on this commitment, the government had initiated the process of reviewing SDGs reporting needs at the end of 2016. PBS took the lead and convened meetings with stakeholders. Moreover, NIPS also initiated stakeholder consultations and several questions were included in the PDHS 2017-18. Similarly, UNICEF and PBS are mutually deciding on conducting National Coordinated MICS simulta-neously in all four provinces.

4.1 Institutional Coordinationa

4.1.1 PBSThe technical committee formed at PBS led to the consensus that Pakistan has several data instru-ments, both institutional and survey based. These instruments may be consolidated, synchro-nized, and balanced to fulfill the reporting requirements of SDG indicators, in a timely and efficient

manner. Four technical subcom-mittees are formed to look into the sufficiency of data instruments and their reporting gaps vis-à-vis the quantitative and qualitative scope of the SDGs. The four committees are, i) Education; ii) Health, Nutrition and Gender Equality; iii) Water and Sanitation; and, iv) Poverty, Labour and Employment.

(a) EducationThis subcommittee analyzed reporting gaps in goal 4, especially in the context of early childhood education, organized learning, non-formal education, ICT, disparities in access to education and proficiency assessment. The needed changes in PSLM were discussed and made part of the forthcoming PLSM. In an effort to integrate proficiency assessment with the PSLM survey, the PSLM sampling frame was used. This would help in relating proficiency findings with education access da ta a t the na t iona l l eve l . Moreover, it would also cover the public and private sector thus enabling the governance and service delivery aspects of the quality of education. These changes intend to substantially increase the coverage of education targets.

(b) Health, Nutrition and Gender Equality

This sub-committee occupies chief focus on health-related goals: goal 2 (nutrition), goal 3 (health) and goal 5 (Gender equality). As a result of several deliberations between various stakeholders, clarity was obtained in relying on certain surveys for specific goals. For example, for malnutrition, it was observed that while PDHS and MICS both offer suitable choices, however, MICS enjoys more coverage at the district level unlike PDHS, which extends only up to the provincial level. Likewise, for reproductive health, PSLM, PDHS and MICS are all suitable choices.

Consequently, the source that provides reporting regularity and maximum accuracy and depth, would be the preferred source for the government. Moreover, it is easier to triangulate with other data sets if the sampling frame used in each data set remains constant.

While information on malnutri-tion, reproductive health and epidemics exists, information on non-communicable diseases (NCDs) needs to be strengthened. Certain tangible ways such as including the module on NCDs in existing surveys, strengthening service data from provincial health departments, and integrating

The Long Haul:Chapter 4



REPORTING GAP

18

WHO sources on NCDs in public health information systems, offer plausible solutions. In the end, information from all these sources may be triangulated so as to assess their effectiveness.

The quantum of mortality ques-tions is high in the SDG indicators. In Pakistan, the mortality data by cause of death is virtually non-existent. Reporting on mortality and morbidity very much hinges on a well-functioning Civil Registration and Vital Statistics (CRVS) System. While a CRVS in provinces continues to evolve, there is still much to be done to ensure complete efficiency. Once fully operationalized, the system will provide a basis for birth registration, demographic infor-mation, social planning, health and death information, and may possibly compliment the census as well. A related development was an agreement on the revitalization of the Pakistan Demographic

9Survey (PDS).

Despite the comprehensive effort, there exist a number of speed bumps. First, information on private sector health providers and health care financing is not readily available in government systems. Although the Pakistan Medical and Dental Council (PMDC) registers health practitioners, however, detailed information on the quantitative and qualitative aspects of clinics, hospitals and diagnostics is scant. Information related to private healthcare financing and out of pocket expenditures is very important because the latter serves as a major source of health shocks, whilst the former works as a shock absorber, thereby being one of the major sources of poverty.

(c) Water & Sanitation Upstream of health is water, sanitation and hygiene (WASH),

which implies that health care planning and management without investing properly in WASH will n o t g i v e p r o p e r r e s u l t s . Investments in health care struc-tures, systems and flows would lead to sub-optimal returns of public expenditures. The technical sub-committee on WASH deliber-ated and proposed that on and off site management of water and sanitation are two distinct aspects and since current surveys did not cover this aspect, therefore there is a need for a community survey in order to bridge the information gap.

(d) Poverty, Labour and Employment

There has been a lot of detailed reporting on poverty, labour and employment related SDGs in Pakistan. While majority of the indicators are available, the rest will be available with the next PSLM su rvey. Ma jo r gaps included the mismatch in regional coverage by PSLM district level and PSLM provincial level surveys. However, PBS has decided to restart HIES providing coverage at district level. This will allow computation and compari-son of different poverty measure-ments at the district level, which bodes well with decentralization and demand driven policy and planning. To generate authentic information on social protection and transfers, mapping of BISP surveys with HIES is a feasible option.

Labour Force Survey, on the other hand, is a useful instrument to obtain data on labor force partici-pation, skills, use of ICT, unpaid work and employment informa-tion. However, nontrivial duplica-tion between HIES/PSLM and LFS can be reduced by either removing the employment module from HIES/PSLM and increasing coverage of LFS from provincial

level to district level, or keeping employment in HIES/PSLM and critically thinking about LFS. To generate information on care and undocumented economy, which is absolutely essential for female unpaid work, a simple module of major chores may be added in the HIES or LFS. It is indeed essential to carry out a time use survey after regular intervals to capture information on care and invisible chores etc.

4.1.2 Miscellaneous Organizations

Although PBS was the chief authority involved in data collec-tion and reporting tasks, a few other institutions such as NIPS (PDHS), NADRA, EAD and certain development authorities (for example CDA) also per-formed active roles in the reporting of several SDG indicators.

Meetings with NIPS has led to include significant questions which are directly dealt with SDGs indicators. Most of those indica-tors are related to Goal 3 (Health and Well Being) and Goal 5 (Gender Equality).

4.2 Streamlining of National Survey Instruments

Significant overlaps lie across survey instruments in Pakistan. For example, PSLM district and PSLM provincial surveys differ in terms of consumption and income modules. PSLM (district) chiefly focuses on the progress of MDGs and therefore, does not delve deeper into consumption and income aspects. Post 2015, the government intends to discontinue the PSLM survey, whilst restarting the HIES. This provides an opportunity to compare the role of HIES, MICS and PDHS vis-à-vis

9. PDS caters information on mortality and cause of death, but was discontinued in 2006.



REPORTING GAP

19

their importance in the context of specific SDGs. This will achieve balancing on one hand, while avoiding duplication and increased coverage on the other, thus gaining on inclusive reporting.

Similarly, there is significant overlap in PSLM (district and provincial) and the LFS. While all have an employment module and generate similar information on labor market indicators, the LFS generates additional information on occupational safety etc. In terms of coverage, the PLSM (district) provides labor market information at the district level whereas LFS provides the same, but only at the provincial level.

Thus, rephrasing a few questions as well as increasing the effort of data collection and computation of SDG indicators, will enable PBS to save on the extra effort required in conducting two separate surveys.

Apart from survey data, several SDG indicators require strength-ening of service data for effective report ing and advancement towards inclusion. This is true in general and relevant in terms of serving as a means of implementa-tion information for several SDGs. Similarly, for targets related with WASH means of implementation, significant capacity building and coordination effort is needed for local government departments and

rural development departments. Moreover, for SDGs indicators related to biodiversity, institu-tional coordination and strength-ening is critical.

In addition, data for several indicators may also be available with minor effort, but owing to the absence of information, it becomes impossible to compute a required SDG indicator. For instance, disaggregated data on foreign loans and grants by sector is not published by the EAD, thus minor effort is required to use institu-tional data to compute a required indicator of SDGs.



REPORTING GAP

20

Quality data generation is essential for evidence based policy and planning. However, social and economic sectors, and infrastruc-ture planning is often not guided b y d e p r i v a t i o n , n e e d a n d susta inabi l i ty, and ins tead, provisioning is often driven by ad hoc response and/or political motivation. This approach often makes the public-sector planning and implementation, reactive, and not responsive or proactive. This impl ies tha t inc lus ion and sustainability are not the major drivers of our planning process.

While political interests cannot be undermined, however, results based inclusive planning has never been given a chance to highlight its attractiveness. For instance, the disconnect between different tiers of the health system and WASH illustrates the broken upstream and downstream links falling in the health value chain, and thus makes policies and plans which will innately generate sub optimal returns to public investments.

Same can be said about links between agriculture output and natural resources, soil quality etc. which translate into unsustainable urban sprawls and resulting poverty. Thus, it fails to incorpo-rate the effects of poverty based crimes on peace, which feed negatively into the economic

potential of urban centres. There are ample anecdotes of regular purchases and stocking of drugs and supplies in basic health units without relating the size of these supplies according to the nature a n d q u a n t u m o f d i s e a s e s . Similarly, in basic health units, often doctors are considered an integral part of needed human resource, wherein, paramedics, technicians would suffice to provide the needed services in satisfactory way. This, in essence means, that the system fails to establish a 'planning equilibrium' that renders it incapable to address the mismatch between supply and demand.

The major issue is the non-utility of data, as opposed to the dearth of data per say. Lack of capacity and a 'bureaucratic inertia' can be the contributing factors, nevertheless, major corrections may only come from political leadership.

SDG reporting is enterprise in nature, involving a range of departments. Some of these are responsible for initiating demand for information for resource allocation, while others are responsible for gathering data. Therefore, timely reporting of SDGs requires close coordination between these departments. The consumption of data hinges upon the timely collection, reporting

The Way Forward

Chapter 5



REPORTING GAP

21



REPORTING GAP

and dissemination of this data.

In the context of SDGs, each data reporting agency is expected to adhere to a standard guideline so as to avoid inconsistency in the reporting of indicators. The actionable points of the guideline are:

a) Develop a strong coordination with the ministries/divisions involved in the reporting of SDGs;

b) Enhance coordination among key statistical organizations, both at the federal and provin-cial levels;

c) Strengthen the technical c a p a c i t y o f m i n i s-tries/divisions and reporting agencies through trainings;

d) Improve quality of data by ensuring complete harmony in the technical aspects of SDGs;

e) Develop a timeline for the dissemination of the data between 2015-2030;

f) Allocate reasonable and continuous resources for SDG indicators that were not previously collected, com-puted and published;

g) Increase coverage through inclusive reporting;

h) M i n i m i z e d u p l i c a t i o n - including reporting of same indicator, surveys etc, and utilize idle resources for other

data collection; and,

I) L a u n c h o f n e w s u r v e y instruments (such as cause of death or mortality survey).

5.1 Use of Technology for Data Collection

Although the past bears witness to the collection of socio-economic data for informed decis ion making, yet, data from telecom-munication and social media has yet to play its due role in supple-menting the available information. In this context, following are a few areas that offer guidelines to maximize the use of ICT:

Ÿ Using real time data will enable easier monitor ing of the security situation;

Ÿ Tracking cell phone data can help estimate the size of population in a particular region. Estimates can be compared with the available census at the disaggregated level in order to compute results;

Ÿ Increasing the social sector's service delivery, especially in case of using outreach for increasing access, for example, use of a 'doctor hotline' or building an app for determining

diagnosis;

Ÿ Monitoring financial flows by mobile money to keep track of financial inclusion and saving possibilities;

Ÿ Development of a mobile app to monitor traffic flow at different times;

Ÿ Use of specialized sensors for environment monitoring;

Ÿ Employing spatial data to assess the extent of urban sprawls, slums and using this informat ion for crea t ing innovat ive so lu t ions for sustainable cities and commu-nities;

Ÿ Employing spatial mapping for solid waste management and identifying ways of sustainable management of waste in urban areas;

Ÿ Integrating spatial and big data for monitoring and evaluation of inclusive development initiatives; and,

Ÿ Increasing the role of the private sector and the citizens in the implementation of SDGs through ICT.

22

Nu

mb

er o

f In

dic

ator

s b

y L

evel

of

Eff

ort

Req

uir

ed f

or A

vail

abil

ity

TO

TA

L

Per

cen

t

Goa

l

Ann

exur

e1T

able

1 :

Dat

a G

ap A

nal

ysis

for

Su

stai

nab

le D

evel

opm

ent

Goa

ls I

nd

icat

or S

um

mar

y b

y G

oal

23 11.5

2 0 0 0 3 0 1 0 0 2 2 4 6 2 2 2 178 43 21.5

14 14 27 11 14 11 6 17 12 11 15 13 7 10 14 23 25

Tot

al

244 -

49.7

5

50 57.1

55.6

81.8

81.8

27.3

60 82.4

75 22.2

38.5 0 100 0

16.7

33.3

87.5

Per

cen

tage

0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 23d2a

2b2c

2d3a

3b3c

1 4 2 4 2 0 0 3 5 2 0 0 0 0 0 0 0 1

0 4 7 4 5 1 0 5 5 2 3 0 1 0 1 4 4

0 0 0 0 2 0 0 0 0 0 1 0 0 0 0 1 0

2 2 4 3 2 2 0 3 2 0 1 0 0 0 1 2 0

0 2 8 1 2 8 1 1 1 4 7 2 0 5 8 10 0

4 2 3 0 0 0 0 1 0 3 0 3 0 1 1 0 1

2 0 0 0 0 0 0 1 2 0 0 4 0 2 0 1 0

0 2 1 1 0 0 1 0 0 0 1 0 0 0 1 3 0

46 23.0

4 2.0

24 12.0

60 30.0

19 9.5

12 6.0

10 5.0

3 1.5



REPORTING GAP

Table 2 : Indicator Summary by Preferred Source

1

2

3

4

5

6

7

8

28

29

4

4

3

1

1

1

Survey Data

Number of Indicators

Total 69

Institutional Data

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

10

7

7

4

2

4

4

3

3

1

3

2

1

1

1

1

1

World Health Organization (1 indicator shared with PSLM)

Economic Affairs Division

Pakistan Economic Survey

Ministry of Finance

State Bank of Pakistan

Pakistan Telecommunication Authority

Provincial Disaster Management Authorities


Project to Improve Financial Reporting & Auditing (PIFRA)

World Development Indicators

Provincial Forestry, Wildlife and Fisheries Departments

Demand for Grants (Pink Book) - Ministry of Finance

Academy of Education Planning and Monitoring

Annual Budget Statement

Compendium of Environmental Statistics

Dictrict Coordination Officers (DCOs)

Education Management Information System (EMIS)

Source Name

Pakistan Standard of Living Measurement (PSLM)

Multiple Indicator Cluster Survey (MICS)

Pakistan Demographic and Health Survey (PDHS)

Labor Force Survey (LFS)

Agriculture Census

Agriculture Statistics

Census for Manufacturing Industries

Household Income and Expenditure Survey (HIES) (2 indicators shared with PSLM)

23



REPORTING GAP

Total 70

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

Provincial Finance Departments (shared with Ministry of Finance)

Worker's Welfare Fund, Provincial Social Security Agencies (shared with NSER/BISP)

Others

TBD after Consultation

Not Applicable

61

44

Total 244

Pakistan Environment Protection Agency

Energy Yearbook

Food and Agriculture Organization

Federal Board of Revenue (Customs Department)

Ministry of National Health Services, Regulation and Coordination

Ministry of Overseas Pakistanis and Human Resource Development

National Disaster Management Authority

National Accounts

National/Provincial Assembly of Pakistan

Pakistan Medical and Dental Council

Provincial Bureaus of Statistics

Provincial Health Departments

Provincial Women Development Departments

S & GAD and Establishment Division

Securities and Exchange Commission of Pakistan

SUPARCO

24



REPORTING GAP

25

Table 3 : Indicator Summary by Reporting Agency

Name of Reporting Agency/ Department Number of Indicators

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

Cabinet Secretariat

Economic Affairs Division

Federal Board of Revenue

Hydrocarbon Development Institute of Pakistan

Malaria Control Program

Ministry of Climate Change

Ministry of Finance

Ministry of Human Rights

Ministry of Interior

Ministry of Law and Parliamentary Affairs

Ministry of National Food Security and Research

Ministry of National Health Services, Regulations and Coordination



Ministry of Railways


National AIDS Control Program

National Institute of Population Studies

National TB Control Program


Pakistan Telecommunication Authority

Pakistan Tourism Development Corporation

Provincial Bureaus of Statistics

Provincial Disaster Management Authorities

Provincial Education Departments

Pakistan Environment Protection Agency

National Transport Research Center (shared with Ministry of Railways)

2

1

9

1

1

1

6

16

2

9

1

9

14

1

4

1

1

1

9

1

1

48

4

1

7

6

3

4

Academy of Education Planning and Monitoring (one indicator shared with PBS)



REPORTING GAP

26

Total 244

Provincial Forestry, Wildlife and Fisheries Departments

Provincial Livestock and Fisheries Departments

Securities and Exchange Commission of Pakistan

State Bank of Pakistan


Not Applicable/Relevant

1

3

1

1

1

7

1

26

44

29

30

31

32

33

34

35

36

37

World Bank ](shared with Ministry of Planning, Development and Reform)

Provincial Transport Departments (shared with Ministry of Railways)

Provincial Finance Departments (shared with Ministry of Finance)



REPORTING GAP

27

Table 4 : Indicators Summary by Lead Ministry

Name of Lead Ministry Number of Indicators

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

Not Applicable/Relevant

Ministry of Finance

Ministry of National Health Services, Regulations and Coordination

Ministry of Climate Change



Ministry of Federal Education and Professional Training


Ministry of Interior

Ministry of National Food Security and Research

Ministry of Industries and Production

Ministry of Human Rights

Ministry of Information, Technology and Telecommunication


Ministry of Water and Power

Pakistan Tourism Development Corporation

Ministry of Housing and Works

Ministry of Law and Parliamentary Affairs

Ministry of Petroleum and Natural Resources

Ministry of Railways

44

38

38

23

23

13

12

12

11

8

5

4

3

2

2

2

1

1

1

1

Total 244



REPORTING GAP

28

Tab

le 5

: D

etai

led

Dat

a G

ap A

nal

ysis

for

all

Su

stai

nab

le D

evel

opm

ent

Goa

ls

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

1.1.

1

1.2.

1

1.2.

2

1.3.

1

1.4.

1

1.4.

2

1.5.

1

1.5.

2

1.5.

3

1.5.

4

1.a.

1

1.a.

2

1.a.

3

1.b

.1

1 1 1 3b 3b 2c 1 8 8 2c 3a 3a 3a 3a

Non

e

Pro

vinc

e, R

egio

n

Pro

vinc

e, D

istr

ict,

R

egio

n

Pro

vinc

e, D

istr

ict,

R

egio

n

Pro

vinc

e, D

istr

ict,

R

egio

n

Pro

vinc

e, D

istr

ict,

R

egio

n

Geo

grap

hic

loca

tion

, H

azar

d, G

ende

r

N/A

N/A

N/A

WD

I

HIE

S

PS

LM

MIC

S

PS

LM

PS

LM

ND

MA

N/A

N/A

DC

Os

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

MIC

S

BIS

P, W

orke

rs

Wel

fare

Fun

d,

Pro

vinc

ial

Soc

ial

Sec

urit

y A

genc

ies

MIC

S

Pro

vinc

ial

Boa

rds

of R

even

ue

N/A

N/A

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Fin

ance

Min

istr

y of

Cim

ate

Cha

nge

(Nat

iona

l D

isas

ter

Man

agem

ent A

utho

rity

)

N/A

N/A

Min

istr

y of

Cim

ate

Cha

nge

(Nat

iona

l D

isas

ter

Man

agem

ent A

utho

rity

)

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m/

W

orld

Ban

k

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pro

vinc

ial

Dis

aste

r M

anag

emen

t Aut

hori

ties

N/A

N/A

Pro

vinc

ial

Dis

aste

r M

anag

emen

t Aut

hori

ties

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance



REPORTING GAP

29

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

2.1.

1

2.1.

2

2.2.

1

2.2.

2

2.3.

1

2.3.

2

2.4.

1

2.5.

1

2.5.

2

2.a.

1

2.a.

2

2.b

.1

2.b

.2

2.c.

1

1 2d 1 3a 2a 3c 2c 3c 2d 2a 2a 2c 3a 2a

Pro

vinc

e, R

egio

ns

Pro

vinc

e, R

egio

ns

Pro

vinc

es

Pro

vinc

es

Pro

vinc

es

Pro

vinc

es

Pro

vinc

es

MIC

S

PS

LM

MIC

S

MIC

S

Agr

icul

ture

Cen

sus

PS

LM

/HII

CS

PS

LM

/HII

CS

TB

D

TB

D

Dem

and

for

Gra

nts

Boo

k of

M

inis

try

of F

inan

ce

EA

D

PIF

RA

SB

P

PB

S

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Sta

te B

ank

of P

akis

tan

Pak

ista

n B

urea

u of

Sta

tist

ics

Pro

vinc

es

NN

S, P

DH

S

MIC

S, N

NS

PD

HS

, NN

S

PD

HS

, NN

S

PS

LM

Agr

icul

ture

Cen

sus

PIF

RA

Min

istr

y of

C

omm

erce

and

T

rade

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch



REPORTING GAP

30

Con

tinu

ed...

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

3.1.

1

3.1.

2

3.2.

1

3.2.

2

3.3.

1

3.3.

2

3.3.

3

3.3.

4

3.3.

5

3.4.

1

3.4.

2

3.5.

1

2a 1 1 1 2d 2a 2a 2a 2d 2d 2c 2d

Pro

vinc

ial

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Nat

iona

l, P

rovi

ncia

l

N/A

N/A

MIC

S

PS

LM

MIC

S

MIC

S

TB

D

MIC

S

PS

LM

MIC

S

TB

D

TB

D

TB

D

TB

D

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

Pak

ista

n B

urea

u of

Sta

tist

ics

Pro

vinc

ial

Bur

eau

of S

tati

stic

s

Pro

vinc

ial

Bur

eau

of S

tati

stic

s

Nat

iona

l AID

s C

ontr

ol P

rogr

am

Nat

iona

l T

B C

ontr

ol P

rogr

am

Mal

aria

Con

trol

Pro

gram

Pak

ista

n B

urea

u of

Sta

tist

ics

PD

HS

MIC

S/

PD

HS

PS

LM

, PD

HS

PD

HS

PD

HS

MIC

S

N/A

N/A

N/A

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion



REPORTING GAP

31

Min

istr

y of

Int

erio

rP

rovi

ncia

l B

urea

u of

Sta

tist

ics

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

TB

D a

fter

Con

sult

atio

n

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

N/A

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial

MIC

S

Pro

vinc

ial

BO

S

MIC

S

MIC

S

PS

LM

, WH

O

MIC

S

WH

O

WH

O

WH

O

MIC

S

TB

D

N/A

PD

HS

DH

ISD

HIS

DH

ISF

inan

ce D

eptt

3.5.

2

3.6.

1

3.7.

1

3.7.

2

3.8.

1

3.8.

2

3.9.

1

3.9.

2

3.9.

3

3.a.

1

3.b

.1

2d 2c 2a 2a 2d 2d 3a 3a 3a 1 2d

Min

istr

y of

Nat

iona

lH

ealt

h S

ervi

ces

and

Reg

ulat

ions

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Pro

vinc

ial

EA

D

Pro

vinc

ial

Hea

lth

Dep

artm

ents

PM

DC

, Hel

ath

Dep

artm

ent

3.b

.2

3.b

.3

3.c.

1

3.d

.1

2a 3c 2c 2c



REPORTING GAP

32

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

4.1.

1

4.2.

1

4.2.

2

4.3.

1

4.4.

1

4.5.

1

4.6.

1

4.7.

1

4.a.

1

4.b

.1

4.c.

1

2d 1 3c 2a 2c 2a 1 2c 2a 2a 2c

Nat

iona

l, P

rovi

ncia

l

Pro

vinc

ial

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

Pro

vinc

ial,

Dis

tric

t

MIC

S

MIC

S

MIC

S

PS

LM

MIC

S

MIC

S

PS

LM

TB

D

AE

PAM

EA

D

EM

IS

Min

istr

y of

Fin

ance

(E

cono

mic

Aff

airs

Div

isio

n)

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

Aca

dem

y of

Edu

cati

on P

lann

ing

and

Mon

itor

ing

/ P

akis

tan

Bur

eau

of S

tati

stic

s

Pro

vinc

ial

Bur

eau

of S

tati

stic

s

Pro

vinc

ial

Bur

eau

of S

tati

stic

s

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pro

vinc

ial

Bur

eau

of S

tati

stic

s

Pak

ista

n B

urea

u of

Sta

tist

ics

Edu

cati

on D

epar

tmen

t

Edu

cati

on D

epar

tmen

t

Eco

nom

ic A

ffai

rs D

ivis

ion

Edu

cati

on D

epar

tmen

t

MIC

S

PS

LM

PS

LM

MIC

S

Edu

cati

on

Dep

artm

ent



REPORTING GAP

33

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

5.1.

1

5.2.

1

5.2.

2

5.3.

1

5.3.

2

5.4.

1

5.5.

1

5.5.

2

5.6.

1

5.6.

2

5.a.

1

5.a.

2

5.b

.1

5.c.

1

2d 2b 2b 2a 2a 2d 2a 2a 2a 8 2c 8 2c 8

Pro

vinc

e

Pro

vinc

ial

Pro

vinc

ial

Dis

tric

t

N/A

Pro

vinc

ial/

Dis

tric

t

Pro

vinc

ial/

Dis

tric

t

Pro

vinc

ial/

Dis

tric

t

N/A

Pro

vinc

e, D

istr

ict

N/A

Nat

iona

l/P

rovi

ncia

l

N/A

Pro

vinc

ial

Wom

en

Dev

elop

men

t D

epar

tmen

ts

PD

HS

PD

HS

PS

LM

MIC

S

TB

D

Nat

iona

l/P

rovi

ncia

l A

ssem

bly

of

Pak

ista

n

PS

LM

PS

LM

N/A

PS

LM

N/A

MIC

S

N/A

Min

istr

y of

Hum

an R

ight

s(N

CS

W)

Min

istr

y of

Nat

iona

l H

ealt

hS

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

R

esou

rce

Dev

elop

men

t

Min

istr

y of

Law

and

P

arli

amen

tary

Aff

airs

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

N/A

Min

istr

y of

Fin

ance

N/A

Min

istr

y of

Inf

orm

atio

n,

Tec

hnol

ogy

and

Tel

ecom

mun

icat

ion

N/A

Pak

ista

n B

urea

u of

Sta

tist

ics

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Min

istr

y of

Law

and

P

arli

amen

tary

Aff

airs

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

N/A

Pak

ista

n B

urea

u of

Sta

tist

ics

N/A

Pak

ista

n T

elec

omm

unic

atio

n A

utho

rity

N/A

MIC

S, P

DH

S

N/A

LF

S

MIC

S, P

DH

S

N/A

PD

HS

N/A

PS

LM

/ P

TA

N/A

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

hS

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

hS

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

hS

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion



REPORTING GAP

34

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

6.1.

1

6.2.

1

6.3.

1

6.3.

2

6.4.

1

6.4.

2

6.5.

1

6.5.

2

6.6.

1

6.a.

1

6.b

.1

2c 2a 2d 2d 2d 2d 2d 2d 2d 2c 2d

Dis

tric

t

Dis

tric

t

MIC

S

PS

LM

TB

D

TB

D

TB

D

TB

D

TB

D

TB

D

TB

D

TB

D

TB

D

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

an

d C

oord

inat

ion

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

Min

istr

y of

Fin

ance

(E

cono

mic

Aff

airs

Div

isio

n)

TB

D a

fter

Con

sult

atio

n

Pro

vinc

ial

Bur

eau

of S

tati

stic

s

Pak

ista

n B

urea

u of

Sta

tist

ics

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

Eco

nom

ic A

ffai

rs D

ivis

ion

TB

D a

fter

Con

sult

atio

n

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

5.1.

1

1 1 1 2d 8 3c

Pro

vicn

ial

/ D

istr

ict

Pro

vicn

ial

/ D

istr

ict

Nat

iona

l

Nat

iona

l

N/A

Min

istr

y of

Wat

er a

nd P

ower

Min

istr

y of

Wat

er a

nd P

ower

Min

istr

y of

Pet

role

um

and

Nat

ural

Res

ourc

e

TB

D a

fter

Con

sult

atio

n

N/A

TB

D a

fter

Con

sult

atio

n

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Hyd

roca

rbon

Dev

elop

men

t In

stit

ute

of P

akis

tan

TB

D a

fter

Con

sult

atio

n

N/A

TB

D a

fter

Con

sult

atio

n

MIC

S

7.1.

1

7.1.

2

7.2.

1

7.3.

1

7.a.

1

7.b

.1

MIC

S

MIC

S

N/A

PS

LM

PS

LM

Ene

rgy

Yea

rboo

k

TB

D

N/A

TB

D



REPORTING GAP

35

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

8.1.

1

8.2.

1

8.3.

1

8.4.

1

8.4.

2

8.5.

1

8.5.

2

8.6.

1

8.7.

1

8.8.

1

8.8.

2

8.9.

1

8.9.

2

8.10

.1

3d 1 1 3a 2c 2a 1 2a 2a 2c 2d 3b 2c 1

Nat

iona

l

Nat

iona

l

Pro

vinc

ial

Nat

iona

l

Nat

iona

l

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Nat

iona

l/P

rovi

ncia

l

Nat

iona

l/P

rovi

ncia

l

Nat

iona

l/P

rovi

ncia

l

Nat

iona

l

Eco

nom

ic S

urve

y

Eco

nom

ic S

urve

y

PS

LM

TB

D

TB

D

LF

S

LF

S

PS

LM

MIC

S

LF

S

Nat

iona

l Acc

ount

s

LF

S

SB

P

MIC

S

EA

D

Pak

ista

n E

cono

mic

S

urve

y

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

Pak

ista

n T

ouri

sm

Dev

elop

men

t C

orpo

rati

on

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

(E

cono

mic

Aff

airs

Div

isio

n)

Min

istr

y of

Fin

ance

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Sta

te B

ank

of P

akis

tan

Pak

ista

n B

urea

u of

Sta

tist

ics

Eco

nom

ic A

ffai

rs D

ivis

ion

Min

istr

y of

Fin

ance

SB

P A

nnua

l R

epor

t

SB

P A

nnua

l R

epor

t

LF

S

PS

LM

PS

LM

LF

S

PS

LM

SB

P8.

10.2

8.a.

1

8.b

.1

2a 2a 1

Nat

iona

l

Nat

iona

l

Pro

vinc

ial

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Pak

ista

n B

urea

u of

Sta

tist

ics

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Min

istr

y of

Ove

rsea

s P

akis

tan

and

Hum

an

Res

ourc

e D

evel

opm

ent



REPORTING GAP

36

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

9.1.

1

9.1.

2

9.2.

1

9.2.

2

9.3.

1

9.3.

2

9.4.

1

9.5.

1

3b 2d 1 2a 1 2c 2a 2a

9.5.

2

9.a.

1

9.b

.1

9.c.

1

3b 2a 2a 2c

Pro

vinc

ial/

dist

rict

Nat

iona

l, S

ecto

r

Pro

vinc

ial,

Dis

tric

t

Nat

iona

l

Nat

iona

l

Nat

iona

l

Nat

iona

l

Nat

iona

l, P

rovi

ncia

l

Nat

iona

l

Nat

iona

l, P

rovi

ncia

l

PS

LM

PB

S

Pak

ista

n E

cono

mic

S

urve

y

PS

LM

Pak

ista

n E

cono

mic

S

urve

y

CM

I

Com

pend

ium

of

Env

iorn

men

tal

Sta

tist

ics

Ann

ual

Bud

get

Sta

tem

ent

TB

D

EA

D

PB

S

PT

A

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Rai

lway

s

Min

istr

y of

Ind

ustr

ies

and

Pro

duct

ion

Min

istr

y of

Ind

ustr

ies

and

Pro

duct

ion

Min

istr

y of

Ind

ustr

ies

and

Pro

duct

ion

Min

istr

y of

Ind

ustr

ies

and

Pro

duct

ion

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Fin

ance

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

(Hig

her

Edu

cati

on C

omm

issi

on)

Min

istr

y of

Fin

ance

(E

cono

mic

Aff

airs

Div

isio

n)

Min

istr

y of

Ind

ustr

ies

and

Pro

duct

ion

Min

istr

y of

Sci

ence

an

d T

echn

olog

y

LF

S

UN

Dat

a

Pak

ista

n B

urea

u of

Sta

tist

ics

Min

istr

y of

Rai

lway

s, N

TR

C,

Pro

vinc

ial

Tra

nspo

rt

Dep

artm

ents

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Min

istr

y of

Fin

ance

Pak

ista

n B

urea

u of

Sta

tist

ics

Eco

nom

ic A

ffai

rs D

ivis

ion

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n T

elec

omm

unic

atio

n A

utho

rity



REPORTING GAP

37

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

10.1

.1

10.2

.1

10.3

.1

10.4

.1

10.5

.1

10.6

.1

10.7

.1

10.7

.2

10.a

.1

10.b

.1

10.c

.1

2a 2d 2d 2a 3a 8 2d 8 3a 3a 2d

Pro

vinc

e

Pro

vinc

e, D

istr

ict

Dis

tric

t

Nat

iona

l

N/a

Nat

iona

l

N/a

Nat

iona

l

Pro

vinc

ial

Nat

iona

l

PS

LM

PS

LM

MIC

S

PS

LM

SB

P

N/A

TB

D

N/A

FB

R

(Cus

tom

s D

epar

tmen

t)

EA

D

TB

D

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Hum

an R

ight

s

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Fin

ance

N/A

TB

D a

fter

Con

sult

atio

n

N/A

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Pak

ista

n B

urea

u of

Sta

tist

ics

Sta

te B

ank

of P

akis

tan

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Sta

te B

ank

of P

akis

tan

N/A

TB

D a

fter

Con

sult

atio

n

N/A

Fed

eral

Boa

rd o

f R

even

ue

(Cus

tom

s D

epar

tmen

t)

Min

istr

y of

Fin

ance

Sta

te B

ank

of P

akis

tan

PS

C-B

ISP

LF

S

IMF

N/A

N/A

Min

istr

y of

C

omm

erce

(P

ITA

D a

nd T

DA

P)



REPORTING GAP

38

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

11.1

.1

11.2

.1

11.3

.1

11.3

.2

11.4

.1

11.5

.1

11.5

.2

11.6

.1

11.6

.2

11.7

.1

11.7

.2

11.a

.1

11.b

.1

11.b

.2

11.c

.1

2d 2a 2d 3c 2d 2a 2a 2d 2c 2d 2b 2d 2d 8 8

Nat

iona

l

Dis

tric

t

Dis

tric

t

Nat

iona

l

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Nat

iona

l

Pro

vinc

e

N/A

N/A

TB

D

PS

LM

SU

PAR

CO

TB

D

Min

istr

y of

Fin

ance

, P

rovi

ncia

l F

inan

ce

Dep

artm

ents

PD

MA

PD

MA

TB

D

EPA

TB

D

PD

HS

TB

D

Pro

vinc

ial

Dis

aste

r M

anag

emen

t A

utho

riti

es

N/A

N/A

Min

istr

y of

Hou

sing

and

Wor

ks

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Cli

mat

e C

hang

e

TB

D a

fter

Con

sult

atio

n

Min

istr

y of

Fin

ance

Min

istr

y of

Cim

ate

Cha

nge

(Nat

iona

l D

isas

ter

Man

agem

ent A

utho

rity

)

Min

istr

y of

Cim

ate

Cha

nge

(Nat

iona

l D

isas

ter

Man

agem

ent A

utho

rity

)

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

TB

D a

fter

Con

sult

atio

n

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

and

Coo

rdin

atio

n

TB

D a

fter

Con

sult

atio

n

Min

istr

y of

Cim

ate

Cha

nge

(Nat

iona

l D

isas

ter

Man

agem

ent A

utho

rity

)

N/A

N/A

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

Pak

ista

n B

urea

u of

Sta

tist

ics

TB

D a

fter

Con

sult

atio

n

Min

istr

y of

Fin

ance

, P

rovi

ncia

l F

inan

ce D

epar

tmen

ts

Pro

vinc

ial

Dis

aste

r M

anag

emen

t Aut

hori

ties

Pro

vinc

ial

Dis

aste

r M

anag

emen

t Aut

hori

ties

Min

istr

y of

Cli

mat

e C

hang

e

Env

iron

men

t P

rote

ctio

n A

genc

y

TB

D a

fter

Con

sult

atio

n

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

TB

D a

fter

Con

sult

atio

n

Pro

vinc

ial

Dis

aste

r M

anag

emen

t Aut

hori

ties

N/A

N/A

ND

MA

ND

MA

WH

O

DC

Os

N/A

N/A



REPORTING GAP

39

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

12.1

.1

12.2

.1

12.2

.2

12.3

.1

12.4

.1

12.4

.2

12.5

.1

12.6

.1

12.7

.1

12.8

.1

12.a

.1

12.b

.1

12.c

.1

8 2d 2d 8 3a 3b 3b 3a 8 3b 8 3b 3a

N/A

N/A

Nat

iona

l

Pro

vinc

ial

Nat

iona

l

N/A

N/A

Nat

iona

l

N/A

TB

D

TB

D

N/A

TB

D

TB

D

TB

D

SE

CP

N/A

TB

D

N/A

TB

D

Min

istr

y of

Fin

ance

N/A

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

N/A

Min

istr

y of

Cli

mat

e C

hang

e

Env

iron

men

t P

rote

ctio

n A

genc

y

Env

iron

men

t P

rote

ctio

n A

genc

y

Sec

urit

ies

and

Exc

hang

e C

omm

issi

on o

f P

akis

tan

N/A

Aca

dem

y of

Edu

cati

on

Pla

nnin

g an

d M

onit

orin

g

N/A

Pak

ista

n T

ouri

sm

Dev

elop

men

t C

orpo

rati

on

Min

istr

y of

Fin

ance

N/A

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

N/A

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Fin

ance

(S

ecur

itie

s an

d E

xcha

nge

C

omm

issi

on o

f P

akis

tan)

N/A

Min

istr

y of

Fed

eral

Edu

cati

on

and

Pro

fess

iona

l T

rain

ing

N/A

Pak

ista

n T

ouri

sm

Dev

elop

men

t C

orpo

rati

on

Min

istr

y of

Fin

ance

N/A

N/A

SE

CP

N/A

N/A



REPORTING GAP

40

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

13.1

.1

13.1

.2

13.2

.1

13.3

.1

13.3

.2

13.a

.1

13.b

.1

8 2a 8 8 8 8 8

N/A

Pro

vinc

ial

N/A

N/A

N/A

N/A

N/A

N/A

N/A

PD

MA

PD

MA

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

Min

istr

y of

Cim

ate

Cha

nge

(Nat

iona

l D

isas

ter

Man

agem

ent A

utho

rity

)

N/A

N/A

N/A

N/A

N/A

Pak

ista

n B

urea

u of

StN

/A

Pro

vinc

ial

Dis

aste

r M

anag

emen

t Aut

hori

ties

N/A

N/A

N/A

N/A

N/A

atis

tics

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

14.1

.1

14.2

.1

14.3

.1

14.4

.1

14.5

.1

14.6

.1

14.7

.1

14.a

.1

14.b

.1

14.c

.1

2d 2d 3b 8 2d 2d 3b 3a 2d 8

N/A

Nat

iona

l

Nat

iona

l

Nat

iona

l

Nat

iona

l

Nat

iona

l

N/A

TB

D

TB

D

TB

D

N/A

TB

D

TB

D

TB

D

Min

istr

y of

Fin

ance

FAO

N/A

Min

istr

y of

Cli

mat

e C

hang

e

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

N/A

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

Min

istr

y of

Fin

ance

TB

D a

fter

Con

sult

atio

n

N/A

N/A

HE

C

N/A

Env

iron

men

t P

rote

ctio

n A

genc

y

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

N/A

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

Liv

esto

ck a

nd F

ishe

ries

D

epar

tmen

t

Min

istr

y of

Fin

ance

TB

D a

fter

Con

sult

atio

n

N/A



REPORTING GAP

41

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Nat

iona

l

N/A

Pro

vinc

ial

N/A

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

For

estr

y, W

ildl

ife

and

Fis

heri

es D

epar

tmen

t

Agr

icul

ture

Sta

tist

ics

TB

D

TB

D

TB

D

N/A

TB

D

N/A

TB

D

PIF

RA

PIF

RA

TB

D

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Cli

mat

e C

hang

e

Min

istr

y of

Nat

iona

l F

ood

Sec

urit

y an

d R

esea

rch

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

N/A

TB

D a

fter

Con

sult

atio

n

N/A

TB

D a

fter

Con

sult

atio

n

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

TB

D a

fter

Con

sult

atio

n

Pro

vinc

ial

For

estr

y,

Wil

dlif

e an

d F

ishe

ries

Dep

artm

ent

Pro

vinc

ial

For

estr

y,

Wil

dlif

e an

d F

ishe

ries

Dep

artm

ent

Pro

vinc

ial

For

estr

y,

Wil

dlif

e an

d F

ishe

ries

Dep

artm

ent

Pak

ista

n B

urea

u of

Sta

tist

ics

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

TB

D a

fter

Con

sult

atio

n

N/A

TB

D a

fter

Con

sult

atio

n

N/A

TB

D a

fter

Con

sult

atio

n

Eco

nom

ic A

ffai

rs D

ivis

ion

Eco

nom

ic A

ffai

rs D

ivis

ion

TB

D a

fter

Con

sult

atio

n

Agr

icul

ture

C

ensu

s

N/A

N/A

EA

D

EA

D

15.1

.1

15.1

.2

15.2

.1

15.3

.1

15.4

.1

15.4

.2

15.5

.1

15.6

.1

15.7

.1

15.8

.1

15.9

.1

15.a

.1

15.b

.1

15.c

.1

2a 2d 2d 2c 2d 2d 2d 8 2d 8 3c 3a 2d 2d

For

estr

y, W

ildl

ife

and

Fis

heri

es D

epar

tmen

t

For

estr

y, W

ildl

ife

and

Fis

heri

es D

epar

tmen

t



REPORTING GAP

42

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

Nat

iona

l In

stit

ute

of

Pop

ulat

ion

Stu

dies

Min

istr

y of

Int

erio

r

N/A

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

Sta

te B

ank

of P

akis

tan

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

Min

istr

y of

Fin

ance

Pak

ista

n B

urea

u of

Sta

tist

ics

Cab

inet

Sec

reta

riat

Pak

ista

n B

urea

u of

Sta

tist

ics

N/A

Pak

ista

n B

urea

u of

Sta

tist

ics

Min

istr

y of

Int

erio

r

N/A

Min

istr

y of

Hum

an R

ight

s

Min

istr

y of

Hum

an R

ight

s

16.1

.1

16.1

.2

16.1

.3

16.1

.4

16.2

.1

16.2

.2

16.2

.3

16.3

.1

16.3

.2

16.4

.1

16.4

.2

16.5

.1

16.5

.2

16.6

.1

16.6

.2

16.7

.1

16.7

.2

16.8

.1

16.9

.1

16.1

0.1

16.1

0.2

16.a

.1

16.b

.1

2d 2d 2b 2a 3b 2d 2d 2c 2d 2a 3c 2d 3c 2a 2d 2a 3c 8 2c 2d 8 2d 2d

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

N/A

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Pro

vinc

ial

Dis

tric

t

N/A

Dis

tric

t

Pro

vinc

ial

N/A

TB

D

TB

D

PD

HS

MIC

S

MIC

S

TB

D

N/A

MIC

S

TB

D

SB

P

TB

D

TB

D

TB

D

Dem

and

for

Gra

nts

(Pin

k B

ook)

TB

D

S&

GA

D a

nd

Est

abli

shm

ent

Div

isio

n

PS

LM

N/A

PS

LM

TB

D

N/A

TB

D

TB

D

PD

HS

PD

HS

N/A

Min

istr

y of

Fin

ance

PIF

RA

N/A

MIC

S

N/A

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

and

C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

and

C

oord

inat

ion

Min

istr

y of

Nat

iona

l H

ealt

h S

ervi

ces,

Reg

ulat

ions

and

C

oord

inat

ion

Min

istr

y of

Int

erio

r

N/A

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

Min

istr

y of

Fin

ance

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

Min

istr

y of

Fin

ance

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

Min

istr

y of

Ove

rsea

s P

akis

tani

s an

d H

uman

Res

ourc

e D

evel

opm

ent

Min

istr

y of

Pla

nnin

g,

Dev

elop

men

t an

d R

efor

m

N/A

Min

istr

y of

Int

erio

r

Min

istr

y of

Int

erio

r

N/A

Min

istr

y of

Hum

an R

ight

s

Min

istr

y of

Hum

an R

ight

s



REPORTING GAP

43

Goa

lIn

dic

ator

Ind

icat

or

Ava

ilab

ilit

y C

ode*

Dis

aggr

egat

ion

A

vail

able

Pre

ferr

ed S

ourc

eA

lter

nat

e S

ourc

e(s)

Lea

d M

inis

try

Rep

orti

ng

Age

ncy

17.1

.1

17.1

.2

17.2

.1

17.3

.1

17.3

.2

17.4

.1

17.5

.1

17.6

.1

17.6

.2

17.7

.1

17.8

.1

17.9

.1

17.1

0.1

17.1

1.1

17.1

2.1

17.1

3.1

17.1

4.1

17.1

5.1

17.1

6.1

17.1

7.1

17.1

8.1

17.1

8.2

17.1

8.3

17.1

9.1

17.1

9.2

1 2a 8 2a 3d 3d 8 3a 2a 8 2a 8 8 8 8 8 8 8 8 8 8 8 8 8 8

Pro

vinc

ial

Pro

vinc

ial

N/A

Nat

iona

l

Nat

iona

l

Nat

iona

l

N/A

N/A

Nat

iona

l

N/A

Nat

iona

l

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

Pak

ista

n E

cono

mic

S

urve

y

Pak

ista

n E

cono

mic

S

urve

y

N/A

EA

D

EA

D

EA

D

N/A

EA

D

PT

A

N/A

MIC

S

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

FB

R

FB

R

N/A

PE

S

PE

S

PE

S

N/A

Min

istr

y of

Sci

ence

an

d T

echn

olog

y

N/A

PT

A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

N/A

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

N/A

Min

istr

y of

Sci

ence

an

d T

echn

olog

y

Min

istr

y of

Inf

orm

atio

n,T

echn

olog

y an

d T

elec

omm

unic

atio

n

N/A

Min

istr

y of

Inf

orm

atio

n,

Tec

hnol

ogy

and

Tel

ecom

mun

icat

ion

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

Min

istr

y of

Fin

ance

Min

istr

y of

Fin

ance

N/A

Eco

nom

ic A

ffai

rs D

ivis

ion

Eco

nom

ic A

ffai

rs D

ivis

ion

Eco

nom

ic A

ffai

rs D

ivis

ion

N/A

Min

istr

y of

Sci

ence

and

T

echn

olog

y

Pak

ista

n T

elec

omm

unic

atio

n A

utho

rity

N/A

Pak

ista

n T

elec

omm

unic

atio

n A

utho

rity

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A



REPORTING GAP

Dat

a G

ap A

naly

sis

for S

usta

inab

le D

evel

opm

ent G

oals

Goa

lIn

dica

tor

Indi

cato

rAv

aila

bilit

yCo

de*

Stan

dard

avai

labl

e in

met

adat

a?

Tota

lLi

nkag

esD

eseg

rega

tion

Avai

labl

ePr

efer

red

Sour

ceAl

tern

ate

Sour

ce(s

)Le

ad M

inis

try

Repo

rtin

g Ag

ency

1 2

17.1

.1

17.1

.2

1 1

0 0

Paki

stan

Ec

onom

ic

Sur

vey

Paki

stan

Ec

onom

ic

Sur

vey

Pro

vinc

ial

Pro

vinc

ial

FBR

FBR

MoF

MoF

MoF

MoF

8 2 2 2 8 3 2 8 2 8 8 8 8 8 8 8 8 8 8 8 8 8 8

17.2

.1

17.3

.1

17.3

.2

17.4

.1

17.5

.1

17.6

.1

17.6

.2

17.7

.1

17.8

.1

17.9

.1

17.1

0.1

17.1

1.1

17.1

2.1

17.1

3.1

17.1

4.1

17.1

5.1

17.1

6.1

17.1

7.1

17.1

8.1

17.1

8.2

17.1

8.3

17.1

9.1

17.1

9.2

1 1 0 0 0 0 1 0 1 1 1 1 1 0 0 1 1 0 1 0 0 0 0

0 1 1 0 0 1 5 0 17 0 1 0 0 0 1 0 0 1 0 0 0 0 0

N/A

EAD

EAD

EAD

N/A

EAD

PTA

N/A

PTA

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

Nat

iona

l

Nat

iona

l

Nat

iona

l

N/A

N/A

Nat

iona

l

N/A

Nat

iona

l

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

PES

PES

PES

N/A

MoS

T

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

MoF

MoF

MoF

N/A

MoS

T

MoI

T

N/A

MoI

T

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

EAD

EAD

EAD

N/A

MoS

T

PTA

N/A

PTA

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

44



REPORTING GAP

45

Tar

get

C

od

e In

dic

ato

r D

escr

ipti

on

V

alu

e

Un

it

Yea

r

Sou

rce

T1

.1

1.1

.1 P

ropo

rtio

n o

f po

pul

atio

n be

low

th

e in

tern

atio

nal

po

vert

y li

ne,

b

y se

x, a

ge, e

mp

loym

ent

stat

us

and

geo

grap

hic

al l

ocat

ion

(ur

ban

/ ru

ral)

6.0

7%

%

2

015

WD

I

T1

.2

1.2

.2 P

ropo

rtio

n o

f m

en, w

om

en a

nd

chil

dre

n o

f al

l ag

es l

ivin

g in

p

over

ty i

n a

ll i

ts d

imen

sio

ns a

ccor

din

g to

nat

ion

al d

efin

itio

ns

Ove

rall

= 4

3.1

%

2

014

-15

Pla

nni

ng

Co

mm

issi

on

/PS

LM

Ru

ral=

75.

5, U

rban

=10

.6

%

201

4-1

5 P

lan

nin

g C

om

mis

sio

n/P

SL

M

T1

.3

1.3

.1 P

rop

ort

ion

of p

opul

atio

n co

vere

d by

so

cial

pro

tect

ion

floo

rs/

syst

ems,

by

sex,

dis

ting

uis

hin

g ch

ildr

en, u

nem

plo

yed

pers

ons,

old

er

per

sons

, per

son

s w

ith

dis

abil

itie

s, p

regn

ant

wo

men

, new

bor

ns,

wor

k in

jury

vic

tim

s an

d t

he

poo

r an

d th

e vu

lner

able

29.

9%

%

2

014

-15

PR

SP

T1

.4

1.4

.1 P

ropo

rtio

n o

f po

pul

atio

n li

vin

g in

hou

seh

old

s w

ith

acce

ss t

o

bas

ic s

ervi

ces

Imp

rove

d w

ater

sou

rce=

86

.0,

Flu

sh T

oil

et=

67

, Ele

ctri

city

=

91.

0 (

Lig

hti

ng)

, G

as f

or

coo

kin

g=56

.0

%

201

4-1

5 P

SL

M

T1

.5

1.5

.1 N

umb

er o

f d

eath

s, m

issi

ng p

erso

ns a

nd p

erso

ns

affe

cted

by

dis

aste

r p

er 1

00,

000

peo

ple

T1

.5

F

lood

and

Rai

n, 2

88 p

eop

le

die

d in

201

2

Num

ber

201

3 M

ult

i H

azar

d C

onti

genc

y P

lan

2013

T1

.a

1.a

.1 P

rop

orti

on o

f re

sour

ces

allo

cate

d by

th

e go

vern

men

t d

irec

tly

to

pov

erty

red

ucti

on

pro

gram

mes

6

3.1

%

2

014

-15

PR

SP

, Min

istr

y of

Fin

anac

e, G

OP

T1

.a

1.a

.2 P

rop

orti

on o

f to

tal

gove

rnm

ent

spen

din

g on

ess

enti

al s

ervi

ces

(edu

cati

on,

hea

lth

and

soc

ial

pro

tect

ion

) 2

7.2

8 %

2

014

-15

PR

SP

, GO

P &

Bud

get

An

alys

is G

OS

T1

.b

1.b

.1 P

ropo

rtio

n o

f go

vern

men

t re

curr

ent

and

cap

ital

sp

end

ing

to

sect

ors

th

at d

ispr

opo

rtio

nat

ely

ben

efit

wo

men

, th

e p

oor

and

vu

lner

able

gro

ups

0.9

1 %

2

014

-15

PR

SP

, GO

P &

Bud

get

An

alys

is G

OS

T1

.b

6

3.0

8 %

2

014

-15

PR

SP

, GO

P &

Bud

get

An

alys

is G

OS

T2

.1

2.1

.1 P

reva

lenc

e of

und

ern

ouri

shm

ent

19.

9 %

2

016

G

lob

al H

unge

r In

dex

Rep

ort

201

7

T2

.2

2.2

.1 P

reva

lenc

e of

stu

ntin

g (h

eigh

t fo

r ag

e <

-2 s

tan

dar

d d

evia

tio

n fr

om

th

e m

edia

n o

f th

e W

orld

Hea

lth

Org

aniz

atio

n (

WH

O)

Ch

ild

G

row

th S

tan

dard

s) a

mon

g ch

ild

ren

un

der

5 y

ears

of

age

Mo

der

ate=

21.

8%

, S

ever

e=2

1.9

%

%

20

11

Nat

ion

al N

utri

tion

Su

rvey

Tab

le 6

: A

vail

able

Dat

aN

atio

nal



REPORTING GAP

46

T2

.2

2.2

.2 P

reva

lenc

e of

mal

nu

trit

ion

(wei

ght

for

hei

ght

>+

2 o

r <

-2

stan

dar

d d

evia

tio

n f

rom

th

e m

edia

n of

th

e W

HO

Ch

ild

Gro

wth

S

tan

dard

s) a

mo

ng

chil

dre

n u

nder

5 y

ears

of

age,

by

type

(w

asti

ng

and

o

verw

eigh

t)

Stu

ntin

g= 4

3.7%

, W

asti

ng=

15.

1%,

Und

erw

eigh

t=31

.5%

%

201

1 N

atio

nal

Nut

riti

on S

urv

ey

3

.1.1

Mat

erna

l m

ort

alit

y ra

tio

T

-276

, U-1

75, R

-319

P

er 1

00,0

00

live

b

irth

2

006

-07

PD

HS

3

.1.2

Pro

port

ion

of

birt

hs

atte

nded

by

skil

led

heal

th p

erso

nnel

5

2.1

%

201

2-1

3 P

DH

S

3

.2.1

Und

er-f

ive

mor

tali

ty r

ate

89

%

201

3-1

3 P

DH

S

3

.2.2

Neo

nat

al m

ort

alit

y ra

te

55

Per

100

0 li

ve b

irth

2

012

-13

PD

HS

3.3

.2 T

ub

ercu

losi

s in

cid

ence

per

1,0

00 p

opul

atio

n

36

100

0 P

opu

lati

on

201

2-1

3 P

DH

S

T3

.3

3.3

.3 M

alar

ia i

nci

den

ce p

er 1

,000

pop

ula

tion

1

2.1

per

100

0 po

pula

tion

2

015

Mal

aria

Con

trol

Pro

gram

T3

.3

3.3

.4 H

epat

itis

B i

nci

den

ce p

er 1

00,0

00

pop

ulat

ion

2

.5

%

200

7-0

8 P

akis

tan

Med

ical

and

Res

earc

h C

ounc

il

T3

.7

3.7

.1 P

ropo

rtio

n o

f w

om

en o

f re

pro

duct

ive

age

(age

d 1

5-4

9 y

ears

) w

ho

hav

e th

eir

nee

d f

or

fam

ily

plan

nin

g sa

tisfi

ed w

ith

mo

dern

m

eth

ods

37.

1 %

2

012

-13

PD

HS

T3

.7

3.7

.2 A

dol

esce

nt

bir

th r

ate

(age

d 15

-19

year

s) p

er 1

,000

wo

men

in

th

at a

ge g

rou

p 4

4 %

2

012

-13

PD

HS

T3

.a

3.a

.1 A

ge-s

tand

ard

ized

pre

vale

nce

of

curr

ent

tob

acco

use

am

ong

p

erso

ns a

ged

15 y

ears

and

old

er

Fem

ale=

6.4

, Mal

e=4

4.6

%

2

012

-13

PD

HS

T4

.5

4.5

.1 P

arit

y in

dic

es (

fem

ale/

mal

e, r

ural

/ u

rban

, bo

ttom

/ to

p w

ealt

h q

uin

tile

and

oth

ers

such

as

dis

abil

ity

stat

us,

indi

gen

ous

peop

les

and

con

flic

t af

fect

ed, a

s d

ata

bec

om

e av

aila

ble

) fo

r al

l ed

uca

tio

n in

dica

tors

on

this

lis

t th

at c

an b

e di

sagg

rega

ted

GP

I P

rim

ary

= 0

.88

; G

PI

Sec

on

dary

= 0

.87

u

nit

201

4-1

5 P

SL

M

T4

.6

4.6

.1 P

erce

nta

ge o

f p

opu

lati

on

in a

giv

en a

ge g

roup

ach

ievi

ng

at l

east

a

fix

ed l

evel

of

pro

fici

ency

in

fu

ncti

ona

l (a

) li

tera

cy a

nd

(b)

n

umer

acy

skil

ls, b

y se

x

T=

60

%,

M=

70%

, F

=4

9%

%

201

4-1

5 P

SL

M

T4

.a

4.a

.1 P

rop

orti

on o

f sc

hoo

ls w

ith

acce

ss t

o: (

a) e

lect

rici

ty;

(b)

the

Inte

rnet

for

ped

ago

gica

l pu

rpo

ses;

(c)

co

mpu

ters

fo

r p

edag

ogi

cal

pur

pos

es;

(d)

adap

ted

infr

astr

uct

ure

and

mat

eria

ls f

or

stud

ents

wit

h

dis

abil

itie

s; (

e) b

asic

dri

nkin

g w

ater

; (f

) si

ngl

e se

x b

asic

san

itat

ion

faci

liti

es;

and

(g)

bas

ic h

and

was

hin

g fa

cili

ties

(as

per

th

e W

AS

H

indi

cato

r de

fin

itio

ns)

Ele

ctri

city

Pri

mar

y=53

, H

igh

=7

6, H

igh

er S

ec.=

97 -

- D

rin

kin

g W

ater

Pri

mar

y=6

7,

Hig

h=

92

, Hig

her

Sec

.=96

---

S

anit

atio

n P

rim

ary

= 6

7, H

igh

=

93

, Hig

her

Sec

. =

97

%

201

5-1

6 P

akis

tan

Ed

ucat

ion

Sta

tist

ics

T5

.5

5.5

.1 P

ropo

rtio

n o

f se

ats

held

by

wo

men

in

nat

iona

l p

arli

amen

ts a

nd

loca

l go

vern

men

ts

19.

7 P

erce

nt

201

7 h

ttp

://w

ww

.pak

p.g

ov.

pk/2

013

/mem

ber

s-d

irec

tory

/wo

men

-res

erve

d-s

eats

/

T5

.5

5.5

.2 P

ropo

rtio

n o

f w

om

en i

n m

anag

eria

l p

osit

ions

1

.55

Per

cen

t 2

014

-15

LF

S

T6

.2

6.2

.1 P

ropo

rtio

n o

f po

pul

atio

n us

ing

safe

ly m

anag

ed s

anit

atio

n se

rvic

es,

incl

udi

ng

a h

and

-was

hing

fac

ilit

y w

ith

soap

and

wat

er

73

Per

cen

t 2

014

-15

PS

LM



REPORTING GAP

47

T7

.1

7.1

.1 P

ropo

rtio

n o

f po

pul

atio

n w

ith

acc

ess

to e

lect

rici

ty

93.

5 %

2

014

-15

PS

LM

T7

.1

7.1

.2 P

ropo

rtio

n o

f po

pul

atio

n w

ith

pri

mar

y re

lian

ce o

n c

lean

fue

ls

and

tec

hno

logy

4

1.3

%

201

4-1

5 P

SL

M

T7

.2

7.2

.1 R

enew

able

ene

rgy

shar

e in

th

e to

tal

fin

al e

ne

rgy

cons

um

ptio

n

11

%

201

5 P

akis

tan

En

erg

y Y

earb

ook

T8

.1

8.1

.1 A

nnu

al g

row

th r

ate

of r

eal

GD

P p

er c

apit

a 1

.0%

%

2

015

-16

Pak

ista

n E

con

omic

Su

rvey

T8

.1

8.2

.1 A

nnu

al g

row

th r

ate

of r

eal

GD

P p

er e

mp

loye

d p

erso

n

1.9

%

%

201

5-1

6 P

akis

tan

Eco

nom

ic S

urv

ey

T8

.3

8.3

.1 P

ropo

rtio

n o

f in

form

al e

mp

loym

ent

in n

on-a

gric

ultu

re

emp

loym

ent,

by

sex

T

otal

=7

3.6

%,

Mal

e=73

.7%

, F

emal

e= 7

3.0

%

%

201

4-1

5 L

FS

T8

.5

8.5

.1 A

vera

ge

hour

ly e

arn

ings

of

fem

ale

and

mal

e em

plo

yees

, by

occ

upat

ion

, age

an

d pe

rson

s w

ith

dis

abil

itie

s T

otal

=7

7.97

p/h

, Mal

e=82

.73

p/h

, Fem

ale=

50

.83

p/h

p

er h

our

201

4-1

5 L

FS

T8

.5

8.5

.2 U

nem

plo

ymen

t ra

te,

by s

ex,

age

and

per

sons

wit

h d

isab

ilit

ies

Tot

al=

5.9

4%

, M

ale=

4.9

7%

, F

emal

e= 8

.95

%

%

201

4-1

5 L

FS

T8

.8

8.8

.2 I

ncr

ease

in

nat

iona

l co

mpl

ian

ce o

f la

bou

r ri

ghts

(fr

eed

om o

f as

soci

atio

n a

nd c

oll

ecti

ve b

arga

inin

g) b

ased

on

In

tern

atio

nal

Lab

our

Org

aniz

atio

n (I

LO

) te

xtua

l so

urce

s an

d n

atio

nal

leg

isla

tio

n, b

y se

x an

d m

igra

nt

stat

us

TU

R O

vera

ll=

7.4

0,

TU

R

Law

=8

.47,

TU

R

Pra

ctic

e=3

.26

- 2

015

ILO

T8

.10

8.1

0.1

Nu

mb

er o

f co

mm

erci

al b

ank

bra

nche

s an

d a

uto

mat

ed t

elle

r m

achi

nes

(A

TM

s) p

er 1

00,

000

adu

lts

C

om

mer

cial

Ban

k B

ranc

hes=

7.1

3, A

TM

s= 5

.72

p

er 1

00,0

00 p

er

pop

ula

tio

n 2

015

Fo

r C

omm

erci

al B

anks

: S

tati

stic

s on

S

ched

ule

Ban

ks i

n P

akis

tan.

F

or

AT

M:

Pay

men

t sy

stem

sta

tist

ics

for

thir

d qu

arte

r o

f fi

scal

yea

r 2

015

.

T8

.b

8.b

.1 T

otal

go

vern

men

t sp

end

ing

in s

ocia

l pr

ote

ctio

n a

nd

emp

loym

ent

pro

gram

mes

as

a p

rop

orti

on

of t

he

nati

ona

l bu

dget

s an

d

GD

P

2.1

%

2

015

PR

SP

T9

.2

9.2

.1 M

anuf

actu

rin

g va

lue

adde

d as

a p

ropo

rtio

n o

f G

DP

an

d p

er

cap

ita

MV

A a

s %

GD

P=

13

.56

%,

&

Per

Cap

ita=

18,

489

%

2

015

-16

Pak

ista

n E

con

omic

Su

rvey

T9

.2

9.2

.2 M

anuf

actu

rin

g em

plo

ymen

t as

a p

ropo

rtio

n o

f to

tal

empl

oym

ent

Tot

al=

15.

33%

, Mal

e=

12.

06%

, Fem

ale=

3.2

7%

%

201

4-1

5 L

FS

T9

.3

9.3

.1 P

ropo

rtio

n o

f sm

all-

scal

e in

dus

trie

s in

tot

al i

ndu

stry

val

ue

add

ed

8.4

%

%

201

5-1

6 P

akis

tan

Eco

nom

ic S

urv

ey

T9

.4

9.4

.1 C

O2

emis

sio

n p

er u

nit

of

valu

e ad

ded

0

.21

7700

kg

per

$1

GD

P

(PP

P)

2

015

UN

Dat

a

T9

.5

9.5

.1 R

esea

rch

and

dev

elo

pmen

t ex

pen

ditu

re a

s a

pro

port

ion

of G

DP

0

.22

7 %

2

015

-16

An

nua

l B

ud

get

Sta

tem

ent

T9

.b

9.b

.1 P

ropo

rtio

n o

f m

ediu

m a

nd h

igh

-tec

h i

ndu

stry

val

ue

adde

d i

n to

tal

valu

e ad

ded

0.2

5%

%

2

015

UN

Dat

a

T9

.c

9.c

.1 P

rop

orti

on o

f po

pula

tion

cov

ered

by

a m

obi

le n

etw

ork

, by

te

chn

olo

gy

69.

9%

%

2

015

-16

Pak

ista

n E

con

omic

Su

rvey



REPORTING GAP

48

T1

0.1

10.

1.1

Gro

wth

rat

es o

f h

ouse

hol

d e

xpen

ditu

re o

r in

com

e p

er c

apit

a am

ong

th

e bo

tto

m 4

0 pe

r ce

nt

of

the

pop

ulat

ion

and

th

e to

tal

pop

ulat

ion

Nat

ion

al A

vera

ge=

9.2

6%

; B

ott

om 4

0%

= 7

.41

%

%

201

5-1

6 P

SL

M/H

IES

T1

0.2

10.

2.1

Pro

port

ion

of

peo

ple

livi

ng b

elo

w 5

0 p

er c

ent

of

med

ian

in

com

e, b

y ag

e, s

ex a

nd p

erso

ns

wit

h d

isab

ilit

ies

16.

6%

%

2

015

-16

PS

LM

/HIE

S

T1

0.5

10.

5.1

Fin

anci

al S

oun

dnes

s In

dica

tors

1

6.2

%

%

201

5 S

BP

/IF

S

T11

.1

11.1

.1 P

ropo

rtio

n o

f ur

ban

pop

ulat

ion

livi

ng i

n sl

ums,

inf

orm

al

sett

lem

ents

or

inad

equ

ate

hou

sin

g 4

5.5

%

201

4 U

N H

abit

at

T11

.7

11.7

.2 P

ropo

rtio

n o

f pe

rson

s vi

ctim

of

phy

sica

l o

r se

xual

har

assm

ent,

b

y se

x, a

ge, d

isab

ilit

y st

atu

s an

d p

lace

of

occ

urr

ence

, in

th

e pr

evio

us

12

mon

ths

32.

2 %

2

012

-13

PD

HS

T1

4.5

14.

5.1

Cov

erag

e of

pro

tect

ed a

reas

in

rel

atio

n t

o m

arin

e ar

eas

Mar

ine

Pro

tect

ed A

rea=

5.6

, T

erre

stri

al a

nd

mar

ine

area

=8

.6

as %

of

tota

l te

rrit

ori

al a

rea

201

4 W

orl

d B

ank

T1

4.7

14.

7.1

Sus

tain

able

fish

erie

s as

a p

erce

nta

ge o

f G

DP

in

sm

all

isla

nd

dev

elo

pin

g S

tate

s, l

east

dev

elo

ped

co

untr

ies

and

all

cou

ntri

es

0.4

0 %

2

016

-17

Pak

ista

n E

con

omic

Su

rvey

T1

5.1

15.

1.1

For

est

area

as

a pr

opo

rtio

n of

to

tal

land

are

a 5

.70

%

201

6-1

7 P

akis

tan

Eco

nom

ic S

urv

ey

T1

6.1

16.

1.1

Num

ber

of

vict

ims

of

inte

nti

ona

l h

omic

ide

per

100

,00

0 p

opul

atio

n, b

y se

x an

d a

ge

7.8

p

er 1

00,0

00

201

2 U

NO

DC

/WH

O/W

DI

T1

6.1

16.

1.2

Con

flic

t-re

late

d d

eath

s pe

r 10

0,00

0 po

pula

tion

, by

sex,

age

an

d c

ause

1

.92

7748

691

p

er 1

00,0

00

201

5 S

ou

th A

sia

inte

llig

ence

Rev

iew

T1

6.9

16.

9.1

Pro

port

ion

of

chil

dre

n u

nder

5 y

ears

of

age

wh

ose

birt

hs

hav

e b

een

regi

ster

ed w

ith

a ci

vil

auth

ori

ty,

by

age

34

per

cen

t 2

015

UN

ICE

F

T1

7.1

17.

1.1

To

tal

gove

rnm

ent

reve

nue

(by

sour

ce)

as a

per

cent

age

of

GD

P

Tax

Rev

enu

e: 1

1.0

, D

irec

t T

ax:

3.7

9, I

ndi

rect

Tax

: 7

.21

, In

tern

atio

n T

rade

Tax

: 1

.12,

S

ales

Tax

: 3.

97, E

xcis

e D

uty:

0

.06

2, F

eder

al:

10.

25,

P

rovi

nci

al:

0.75

per

cen

t 2

015

-16

Eco

no

mic

Su

rvey

T1

7.1

17.

1.2

Pro

port

ion

of

dom

esti

c bu

dge

t fu

nde

d b

y d

om

esti

c ta

xes

56

per

cen

t 2

015

-16

Eco

no

mic

Su

rvey

T1

7.3

17.

3.1

For

eign

dir

ect

inve

stm

ents

(F

DI)

, offi

cial

dev

elo

pm

ent

assi

stan

ce a

nd

Sou

th-S

outh

Coo

pera

tio

n a

s a

pro

port

ion

of

tota

l d

omes

tic

bud

get

FD

I -

1.7

4; O

DA

- 7

.12

Per

cen

tage

2

015

FD

I -

Eco

nom

ic S

urv

ey,

OD

A -

Wo

rld

Ban

k

T1

7.3

17.

3.2

Vo

lum

e o

f re

mit

tanc

es (

in U

nite

d S

tate

s d

oll

ars)

as

a p

rop

orti

on

of

tota

l G

DP

1

8720

U

S$

Mil

lion

2

015

Eco

no

mic

Su

rvey

T1

7.4

17.

4.1

Deb

t se

rvic

e as

a p

ropo

rtio

n o

f ex

po

rts

of g

oods

and

ser

vice

s 4

5.2

4 P

erce

nta

ge

201

5 E

con

om

ic S

urv

ey

T1

7.6

17.

6.2

Fix

ed I

nte

rnet

bro

adb

and

subs

crip

tion

s p

er 1

00 i

nhab

itan

ts, b

y sp

eed

1

.65

465

per

100

in

hib

itan

ts

201

5 P

TA

web

site

T1

7.8

17.

8.1

Pro

port

ion

of

indi

vidu

als

usin

g th

e In

tern

et

8.8

9 p

erce

nt

201

5 P

TA

web

site

, Eco

nom

ic S

urv

ey



REPORTING GAP

49

Pro

vin

cial

– P

un

jab1

Tar

get

C

od

e In

dic

ato

r D

escr

ipti

on

V

alu

e

Un

it

Yea

r

Sou

rce

T1

.2

1.2

.2 P

ropo

rtio

n o

f m

en, w

om

en a

nd

chil

dre

n o

f al

l ag

es l

ivin

g in

pov

erty

in

all

its

dim

ensi

ons

acco

rdin

g to

nat

ion

al d

efin

itio

ns

Tot

al -

39.

4, R

-43.

7, U

-6.3

P

erce

nt

201

4-1

5 M

PI

Rep

ort

20

15-1

6

T1

.4

1.4

.1 P

ropo

rtio

n o

f po

pul

atio

n li

vin

g in

h

ouse

hold

s w

ith

acc

ess

to b

asic

ser

vice

s Im

pro

ved

Wat

er -

90

(U-8

1 &

R-9

5)

Flu

sh T

oil

et -

79 (

U-9

8 &

R-7

0)

Ele

ctri

city

fo

r li

ghit

ng

– 9

5 (U

-99

& R

-93

) G

as f

or

coo

kin

g –

39

(U

-82

& R

– 1

7)

BH

U -

66

(U-6

9 &

R-6

6)

Per

cen

t 2

013

-14

PS

LM

T2

.1

2.1

.1 P

reva

lenc

e of

und

ern

ouri

shm

ent

Stu

nted

- 3

8.4

%, W

aste

d -

15

% a

nd

Und

erw

eigh

t -

30

%

Per

cen

t 2

011

Nat

ion

al N

utri

tion

Su

rvey

T2

.2

2.2

.1 P

reva

lenc

e of

stu

ntin

g (h

eigh

t fo

r ag

e <

-2

stan

dar

d d

evia

tio

n f

rom

th

e m

edia

n of

th

e W

orl

d H

ealt

h O

rgan

izat

ion

(WH

O)

Chi

ld

Gro

wth

Sta

nda

rds)

am

ong

chil

dre

n u

nd

er 5

ye

ars

of

age

Mo

der

ate=

20.

8%

, Sev

ere=

17.6

%

Per

cen

t 2

011

Nat

ion

al N

utri

tion

Su

rvey

T2

.2

2.2

.2 P

reva

lenc

e of

mal

nu

trit

ion

(wei

ght

for

hei

ght

>+

2 o

r <

-2 s

tand

ard

dev

iati

on

fro

m t

he

med

ian

of

the

WH

O C

hild

Gro

wth

Sta

ndar

ds)

amo

ng c

hil

dre

n un

der

5 y

ears

of

age,

by

typ

e (w

asti

ng

and

over

wei

ght)

Stu

ntin

g= 3

9.0

%, W

asti

ng=

13.

0%,

Und

erw

eigh

t=30

.0%

P

erce

nt

201

1 N

atio

nal

Nut

riti

on S

urv

ey

T3

.1

Mat

erna

l M

orta

lity

Rat

io

22

7 P

erce

nt

200

7-0

7 P

DH

S

3

.1.2

Pro

port

ion

of

birt

hs

atte

nded

by

skil

led

hea

lth

per

sonn

el

52.

5 %

2

013

-14

PD

HS

T3

.2

3.2

.1 U

nder

-five

mor

tali

ty r

ate

9

3 p

er t

hous

and

2

014

MIC

S

6

9 (U

), 1

05 R

p

er t

hous

and

2

014

MIC

S

T3

.2

104

mal

e, 8

2 f

emal

e p

er t

hous

and

2

014

MIC

S

T3

.2

137

, 11

2, 9

1, 7

5, 5

3

per

tho

usan

d

201

4 M

ICS

T3

.2

3.2

.2 N

eon

atal

mo

rtal

ity

rate

7

5 p

er 1

000

live

bir

ths

201

4 M

ICS

T3

.2

84

M, 6

5 F

p

er 1

000

live

bir

ths

201

4 M

ICS

T3

.2

57

U, 8

3 R

p

er 1

000

live

bir

ths

201

4 M

ICS

T3

.2

105

, 88

, 73,

61,

45

wea

lth

qui

nti

les

per

100

0 li

ve b

irth

s 2

014

MIC

S

1 If

yo

u h

ave

any

com

men

t or

sug

gest

ion

on t

he r

epor

t, d

ata,

dat

a so

urce

or

a ge

nera

l co

mm

ent,

kin

dly

em

ail

it t

o

m.a

like

mal

@gm

ail.

com

o

r al

i.ke

mal

@un

dp.o

rg o

r N

adee

m.a

hm

ed@

und

p.o

rg.p

k



REPORTING GAP

50

3

.3.2

Tu

ber

culo

sis

inci

den

ce p

er 1

,000

p

opul

atio

n 3

0 p

er 1

000

popu

lati

on

201

2-1

3 P

DH

S

T3

.3

3.3

.3 M

alar

ia i

nci

den

ce p

er 1

,000

pop

ula

tion

0

.4

per

100

0 po

pula

tion

2

015

Mal

aria

Con

trol

Pro

gram

T3

.7

3.7

.1 P

ropo

rtio

n o

f w

om

en o

f re

pro

duct

ive

age

(age

d 1

5-4

9 y

ears

) w

ho

have

th

eir

need

fo

r fa

mil

y pl

anni

ng

sati

sfied

wit

h m

ode

rn m

etho

ds

47

Per

cen

tage

2

012

-13

PD

HS

T3

.7

32.

2 U

rban

, 27

.4 R

ura

l P

erce

nta

ge

201

2-1

3 P

DH

S

T3

.7

3.7

.2 A

dol

esce

nt

bir

th r

ate

(age

d 10

-14

year

s;

aged

15

-19

yea

rs)

per

1,0

00 w

omen

in

th

at a

ge

gro

up

34

%

201

4 M

ICS

T3

.7

U-2

7 an

d R

-37

%

201

4 M

ICS

T3

.a

3.a

.1 A

ge-s

tand

ard

ized

pre

vale

nce

of

curr

ent

toba

cco

use

am

ong

per

son

s ag

ed 1

5 ye

ars

and

o

lder

Mal

e -

43.

6 a

nd

Fem

ale

- 5

.3

%

201

2-1

3 P

DH

S

T4

.2

4.2

.1 P

ropo

rtio

n o

f ch

ild

ren

un

der

5 ye

ars

of

age

who

are

dev

elo

pm

enta

lly

on t

rack

in

hea

lth

, le

arn

ing

and

psy

chos

oci

al w

ell-

bei

ng,

by

sex

97

.7 (

H),

93.

6 (

L),

62.

2 (

P)

(ove

rall

);

9

7.4

(H

), 9

3.3

(L

), 6

0.3

(P

);

(Mal

e);

98.

0 (

H),

94

(L),

64

.1 (

P)

(fem

ale)

%

201

4 M

ICS

T4

.2

4.2

.2 P

arti

cip

atio

n r

ate

in o

rgan

ized

lea

rnin

g (o

ne y

ear

bef

ore

the

offi

cial

pri

mar

y en

try

age)

, b

y se

x

25.

7, 2

4.9

M, 2

6.6

F

%

201

4 M

ICS

T4

.5

4.5

.1 P

arit

y in

dic

es (

fem

ale/

mal

e, r

ural

/ u

rban

, b

otto

m/

top

wea

lth

qu

inti

le a

nd

oth

ers

such

as

dis

abil

ity

stat

us,

ind

igen

ous

peo

ples

an

d

con

flic

t af

fect

ed, a

s d

ata

bec

om

e av

aila

ble

) fo

r al

l ed

uca

tion

in

dica

tors

on

this

lis

t th

at c

an b

e d

isag

greg

ated

Pri

mar

y -

0.9

7, S

econ

dary

- 0

.98

%

201

4 M

ICS

T4

.5

Urb

an P

rim

ary

- 1

.02,

Ru

ral

Pri

mar

y -

0.9

4 U

rban

Sec

ond

ary

– 1

.12

, Rur

al S

econ

dary

–

0.8

8

%

201

4 M

ICS

T4

.5

Qui

nti

le P

rim

ary

– 0

.76

, 0.9

6, 1

.01

, 1

.03

, 1

.02

; Q

uin

tile

Sec

onda

ry

– 0

.44

, 0.7

8,

1.0

7, 1

.16

, 1.0

8

%

201

4 M

ICS

T4

.6

4.6

.1 P

erce

nta

ge o

f p

opu

lati

on

in a

giv

en a

ge

gro

up

achi

evin

g at

lea

st a

fixe

d le

vel

of

pro

fici

ency

in

fun

ctio

nal

(a)

lit

erac

y an

d (

b)

num

erac

y sk

ills

, by

sex

T=

63

%,

M=

71%

, F

=55

%

%

201

4-1

5 P

SL

M



REPORTING GAP

51

T4

.a

4.a

.1 P

rop

orti

on o

f sc

hoo

ls w

ith

acce

ss t

o: (

a)

elec

tric

ity;

(b)

th

e In

tern

et f

or p

edag

ogi

cal

pur

pos

es;

(c)

com

put

ers

for

peda

gogi

cal

pur

pos

es;

(d)

adap

ted

infr

astr

uct

ure

and

mat

eria

ls f

or s

tud

ents

wit

h d

isab

ilit

ies;

(e)

bas

ic

dri

nki

ng

wat

er;

(f)

sing

le s

ex b

asic

san

itat

ion

faci

liti

es;

and

(g)

bas

ic h

and

was

hin

g fa

cili

ties

(a

s pe

r th

e W

AS

H i

ndic

ato

r d

efini

tio

ns)

Ele

ctri

city

Pri

mar

y=9

0.7

, Sec

ond

ary=

97.

8,

Hig

h=

99

.4,

Hig

her

=99

.8

Dri

nk

ing

Wat

er P

rim

ary=

99

.5,

Mid

dle=

99.9

8, H

igh=

99.9

8, H

ighe

r S

ec.=

10

0 T

oile

ts P

rim

ary=

98

.92,

Mid

dle

=99

.91

, H

igh

=9

9.5

2, H

ighe

r S

ec.=

100

Bou

nd

ary

Wal

l P

rim

ary=

97,

Sec

on

dary

=9

9.2

, Hig

h=

99.

2, H

igh

er=

99.

6

%

201

5-1

6 P

akis

tan

Ed

ucat

ion

Sta

tist

ics

T4

.c

4.c

.1 P

rop

orti

on o

f te

ache

rs i

n:

(a)

pre-

pri

mar

y;

(b)

pri

mar

y; (

c) l

ow

er s

eco

nda

ry;

and

(d

) up

per

se

cond

ary

educ

atio

n w

ho h

ave

rece

ived

at

leas

t th

e m

inim

um

org

aniz

ed t

each

er t

rain

ing

(e.g

. p

edag

ogic

al t

rain

ing)

pre

-ser

vice

or

in-s

ervi

ce

requ

ired

fo

r te

ach

ing

at t

he r

elev

ant

leve

l in

a

give

n c

oun

try

92.

9 %

2

016

NE

MIS

T4

.c

92.

9 %

2

016

NE

MIS

T4

.c

93.

4 %

2

016

NE

MIS

9

4.4

%

201

6 N

EM

IS

T5

.2

5.2

.1 P

ropo

rtio

n o

f ev

er-p

artn

ered

wo

men

and

gi

rls

aged

15

year

s an

d ol

der

sub

ject

ed t

o

phy

sica

l, s

exua

l o

r p

sych

olo

gica

l vi

olen

ce b

y a

curr

ent

or

form

er i

nti

mat

e p

artn

er i

n t

he

pre

vio

us

12 m

on

ths,

by

form

of

vio

lenc

e an

d b

y ag

e

28.

6, 2

9.6

U, 2

8.1

R

%

201

2-1

3 P

DH

S

T5

.5

5.5

.1 P

ropo

rtio

n o

f se

ats

held

by

wo

men

in

n

atio

nal

par

liam

ents

and

lo

cal

gove

rnm

ents

2

0.5

Per

cen

t 2

017

htt

p:/

/ww

w.p

akp

.go

v.pk

/20

13/m

emb

ers-

dir

ecto

ry/w

om

en-r

eser

ved

-sea

ts/

T5

.5

5.5

.2 P

ropo

rtio

n o

f w

om

en i

n m

anag

eria

l p

osit

ions

1

.8

Per

cen

t 2

014

-15

LF

S

T5

.a

5.a

.1 (

a) P

ropo

rtio

n o

f to

tal

agri

cult

ural

p

opul

atio

n w

ith

ow

ners

hip

or

secu

re r

igh

ts o

ver

agri

cult

ural

lan

d, b

y se

x; a

nd (

b)

shar

e o

f w

om

en a

mo

ng o

wne

rs o

r ri

ghts

-bea

rers

of

agri

cult

ural

lan

d, b

y ty

pe

of t

enur

e

a) 3

.3 F

, 31

.6

%

2/1

2/2

013

P

DH

S

T6

.2

6.2

.1 P

ropo

rtio

n o

f po

pul

atio

n us

ing

safe

ly

man

aged

san

itat

ion

serv

ices

, in

clu

din

g a

han

d-

was

hin

g fa

cili

ty w

ith

soa

p an

d w

ater

79

Per

cen

t 2

014

-15

PS

LM

T7

.1

7.1

.1 P

rop

orti

on

of

pop

ulat

ion

wit

h ac

cess

to

elec

tric

ity

94.

8 %

2

014

-15

PS

LM

T7

.1

7.1

.2 P

ropo

rtio

n o

f po

pul

atio

n w

ith

pri

mar

y re

lian

ce o

n c

lean

fu

els

and

tech

nolo

gy

38.

8 %

2

014

-15

PS

LM

T8

.3

8.3

.1 P

ropo

rtio

n o

f in

form

al e

mpl

oym

ent

in

no

n-ag

ricu

ltur

e em

plo

ymen

t, b

y se

x

Tot

al -

50.

74,

M

ale

- 4

7.93

, Fem

ale

- 2

.81

Per

cen

t 2

014

-15

Lab

our

Fo

rce

Su

rvey



REPORTING GAP

52

T8

.5

8.5

.1 A

vera

ge

hour

ly e

arn

ings

of

fem

ale

and

m

ale

emp

loye

es, b

y oc

cup

atio

n, a

ge a

nd

per

sons

wit

h d

isab

ilit

ies

Tot

al=

69.

82 p

/h, M

ale=

76.

14

p/h

, Fem

ale=

4

5.8

8 p

/h

per

hou

r 2

014

-15

LF

S

T8

.5

8.5

.2 U

nem

plo

ymen

t ra

te,

by s

ex,

age

and

p

erso

ns w

ith

dis

abil

itie

s T

otal

=6

.29

%,

Mal

e=5

.69

%,

Fem

ale=

7

.78

%

%

201

4-1

5 L

abo

ur F

orc

e S

urv

ey

T9

.2

9.2

.2 M

anuf

actu

rin

g em

plo

ymen

t as

a

pro

por

tio

n o

f to

tal

empl

oym

ent

Tot

al=

16.

5%, M

ale=

12

.6%

, F

emal

e=3.

9%

%

201

4-1

5 P

akis

tan

Lab

our

Fo

rce

Sur

vey

T11

.7

11.7

.2 P

ropo

rtio

n o

f pe

rson

s vi

ctim

of

phy

sica

l o

r se

xual

har

assm

ent,

by

sex,

age

, d

isab

ilit

y st

atus

an

d p

lace

of

occu

rren

ce,

in t

he

pre

vio

us

12

mon

ths

56.

6 P

erce

nt

201

2-1

3 P

DH

S

T1

5.1

15.

1.1

For

est

area

as

a p

ropo

rtio

n of

to

tal

land

ar

ea

17

per

cen

t 2

016

Fo

rest

Dev

elo

pm

ent

Co

rpo

rati

on.

htt

p:/

/ww

w.f

dck

pk.

com

/

T1

6.1

16.

1.3

Pro

port

ion

of

popu

lati

on s

ubje

cted

to

phy

sica

l, p

sych

olo

gica

l o

r se

xual

vio

len

ce i

n

the

prev

iou

s 12

mo

nth

s

56.

6 p

erce

nt

201

2-1

3 P

DH

S (

Tab

le 1

4.1

)



REPORTING GAP

53

Pro

vin

cial

– K

hyb

er P

akh

tun

khw

ah2

Tar

get

C

od

e In

dic

ato

r D

escr

ipti

on

V

alu

e

Un

it

Yea

r

Sou

rce

T1

.2

1.2

.2 P

ropo

rtio

n o

f m

en, w

om

en a

nd

chil

dre

n

of

all

ages

liv

ing

in p

over

ty i

n al

l it

s d

imen

sio

ns a

cco

rdin

g to

nat

ion

al d

efin

itio

ns

Tot

al -

49.

2, U

-10.

2, R

- 57

.8

Per

cen

t 2

014

-15

MP

I R

epo

rt 2

015

-16

T1

.4

1.4

.1 P

ropo

rtio

n o

f po

pul

atio

n li

vin

g in

h

ouse

hold

s w

ith

acc

ess

to b

asic

ser

vice

s Im

pro

ved

Wat

er -

73

(U-9

3 &

R-6

9)

Flu

sh T

oil

et -

76 (

U-9

7 &

R-7

1)

Ele

ctri

city

fo

r li

ghit

ng

– 9

6.2

(U

-99.

2 &

R-

95.

5)

Gas

fo

r co

oki

ng

– 2

5.8

7 (

U-8

0.2

9 &

R –

1

3.4

9)

BH

U -

Per

cen

t 2

013

-14

PS

LM

T1

.a

1.a

.1 P

rop

orti

on o

f re

sour

ces

allo

cate

d by

th

e go

vern

men

t d

irec

tly

to p

over

ty r

edu

ctio

n p

rogr

amm

es

59.

93

Per

cen

t 2

014

-15

PR

SP

T1

.a

1.a

.2 P

rop

orti

on o

f to

tal

gove

rnm

ent

spen

din

g o

n es

sen

tial

ser

vice

s (e

duca

tion

, he

alth

an

d so

cial

pro

tect

ion

)

35.

67

Per

cen

t 2

014

-15

PR

SP

T2

.2

2.2

.1 P

reva

lenc

e of

stu

ntin

g (h

eigh

t fo

r ag

e <

-2

sta

nd

ard

dev

iati

on f

rom

th

e m

edia

n o

f th

e W

orl

d H

ealt

h O

rgan

izat

ion

(WH

O)

Chi

ld

Gro

wth

Sta

nda

rds)

am

on

g ch

ildr

en u

nde

r 5

year

s o

f ag

e

Mo

der

ate=

24.

1%

, Sev

ere=

25.1

%

Per

cen

t 2

011

Nat

ion

al N

utri

tion

Su

rvey

T2

.2

2.2

.2 P

reva

lenc

e of

mal

nu

trit

ion

(wei

ght

for

hei

ght

>+

2 o

r <

-2 s

tand

ard

dev

iati

on

fro

m t

he

med

ian

of

the

WH

O C

hild

Gro

wth

Sta

ndar

ds)

amo

ng c

hil

dre

n un

der

5 y

ears

of

age,

by

typ

e (w

asti

ng

and

over

wei

ght)

Stu

ntin

g= 4

8.0%

, Was

tin

g=16

.0%

, U

nder

wei

ght=

24.0

%

Per

cen

t 2

011

Nat

ion

al N

utri

tion

Su

rvey

T3

.1

3.1

.1 M

ater

nal

mo

rtal

ity

rati

o

27

5 p

er 1

00,0

00

200

6-0

7 P

DH

S

T3

.1

3.1

.2 P

ropo

rtio

n o

f bi

rth

s at

tend

ed b

y sk

ille

d h

ealt

h p

erso

nnel

4

8.3

per

cen

t 2

013

-13

PD

HS

T3

.2

3.2

.1 U

nder

-five

mor

tali

ty r

ate

1

00

per

tho

usan

d

200

8 M

ICS

7

7 (U

), 1

04 R

p

er t

hous

and

2

008

MIC

S

T3

.2

95

mal

e, 1

05

fem

ale

per

tho

usan

d

200

8 M

ICS

T3

.2

109

, 10

7, 1

24, 8

3, 6

6

per

tho

usan

d

200

8 M

ICS

2 If

yo

u h

ave

any

com

men

t or

sugg

esti

on o

n th

e re

por

t, d

ata,

dat

a so

urce

or

a ge

nera

l co

mm

ent,

kin

dly

em

ail

it t

o m

.ali

kem

al@

gmai

l.co

m

or

ali.

kem

al@

undp

.org

or

Nad

eem

.ah

med

@und

p.o

rg.p

k



REPORTING GAP

54

T3

.2

3.2

.2 N

eon

atal

mo

rtal

ity

rate

4

1 p

er 1

000

live

bir

ths

201

2-1

3 P

DH

S

T3

.2

34

U, 4

2 R

p

er 1

000

live

bir

ths

201

2-1

3 P

DH

S

T3

.3

3.3

.2 T

ub

ercu

losi

s in

cid

ence

per

1,0

00

pop

ulat

ion

33

per

100

0 po

pula

tion

2

012

-13

PD

HS

T3

.3

3.3

.3 M

alar

ia i

nci

den

ce p

er 1

,000

pop

ula

tio

n 2

7.7

per

100

0 po

pula

tion

2

015

Mal

aria

Con

trol

Pro

gram

T3

.3

3.3

.4 H

epat

itis

B i

nci

den

ce p

er 1

00,0

00

pop

ulat

ion

1.3

P

erce

nt

200

8 P

MR

C R

epo

rt

T3

.7

3.7

.1 P

ropo

rtio

n o

f w

om

en o

f re

pro

duct

ive

age

(age

d 1

5-4

9 y

ears

) w

ho

have

th

eir

need

fo

r fa

mil

y pl

anni

ng

sati

sfied

wit

h m

ode

rn

met

ho

ds

36.

4 P

erce

nta

ge

201

2-1

3 P

DH

S

46.

2 U

rban

, 33

.9 R

ura

l P

erce

nta

ge

201

2-1

3 P

DH

S

T3

.7

3.7

.2 A

dol

esce

nt

bir

th r

ate

(age

d 10

-14

year

s;

aged

15

-19

yea

rs)

per

1,0

00 w

omen

in

th

at a

ge

gro

up

42.

69

Per

Th

ousa

nd

Wo

men

2

008

MIC

S

T3

.7

U-3

3.9

3 an

d R

-44.

62

Per

Th

ousa

nd

Wo

men

2

008

MIC

S

T3

.a

3.a

.1 A

ge-s

tand

ard

ized

pre

vale

nce

of

curr

ent

toba

cco

use

am

ong

per

son

s ag

ed 1

5 ye

ars

and

o

lder

Mal

e -

39.

4 a

nd

Fem

ale

- 1

.0

per

cen

t 2

012

-13

PD

HS

T4

.5

4.5

.1 P

arit

y in

dic

es (

fem

ale/

mal

e, r

ura

l/

urb

an, b

ott

om/

top

wea

lth

qui

nti

le a

nd

oth

ers

such

as

dis

abil

ity

stat

us,

in

dige

nous

peo

ples

an

d c

onfl

ict

affe

cted

, as

data

bec

ome

avai

lab

le)

for

all

edu

cati

on

indi

cato

rs o

n t

his

list

tha

t ca

n b

e di

sagg

rega

ted

P

rim

ary

- 0

.80

, Sec

onda

ry -

0.6

0 U

rban

Pri

mar

y -

0.9

5, R

ura

l P

rim

ary

- 0

.76

Urb

an S

econ

dar

y –

0.8

9, R

ural

Sec

onda

ry

– 0

.52

Pri

mar

y b

y Q

uin

tile

– 0

.57

, 0.7

0, 0

.77

, 0

.91

, 1.0

0

Sec

on

dary

by

Qui

nti

le –

0.1

9, 0

.37,

0.5

3,

0.6

3, 0

.87

Rat

o

201

4 M

ICS

T4

.6

4.6

.1 P

erce

nta

ge o

f p

opu

lati

on

in a

giv

en a

ge

gro

up

achi

evin

g at

lea

st a

fixe

d le

vel

of

pro

fici

ency

in

fun

ctio

nal

(a)

lit

erac

y an

d (

b)

num

erac

y sk

ills

, by

sex

T=

53

%,

M=

71%

, F

=3

5%

%

201

4-1

5 P

SL

M

T4

.a

4.a

.1 P

rop

orti

on o

f sc

hoo

ls w

ith

acce

ss t

o: (

a)

elec

tric

ity;

(b)

th

e In

tern

et f

or p

edag

ogi

cal

pur

pos

es;

(c)

com

put

ers

for

peda

gogi

cal

pur

pos

es;

(d)

adap

ted

infr

astr

uct

ure

and

mat

eria

ls f

or s

tud

ents

wit

h d

isab

ilit

ies;

(e)

b

asic

dri

nkin

g w

ater

; (f

) si

ngl

e se

x b

asic

sa

nit

atio

n fa

cili

ties

; an

d (

g) b

asic

h

andw

ash

ing

faci

liti

es (

as p

er t

he W

AS

H

indi

cato

r d

efin

itio

ns)

Ele

ctri

city

Pri

mar

y=5

8, S

econ

dar

y=7

0,

Hig

h=

89

, Hig

her

=92

D

rin

kin

g W

ater

Pri

mar

y=7

2, M

idd

le=

75,

Hig

h=

88

, Hig

her

Sec

.=92

T

oile

ts P

rim

ary

= 8

6,

Mid

dle

= 9

0, H

igh

=

96,

Hig

her

Sec

. = 9

9

B

oun

dar

y W

all

Pri

mar

y=86

, S

eco

nda

ry=

89

, Hig

h=

93,

Hig

her

=9

6

%

201

5-1

6 P

akis

tan

Ed

ucat

ion

Sta

tist

ics



REPORTING GAP

55

T5

.5

5.5

.1 P

ropo

rtio

n o

f se

ats

held

by

wo

men

in

n

atio

nal

par

liam

ents

and

lo

cal

gove

rnm

ents

1

7.7

Per

cen

t 2

017

htt

p:/

/ww

w.p

akp

.go

v.pk

/20

13/m

emb

ers-

dir

ecto

ry/w

om

en-r

eser

ved

-sea

ts/

T5.

5 5

.5.2

Pro

port

ion

of

wo

men

in

man

ager

ial

pos

itio

ns

2

Per

cen

t 2

014

-15

LF

S

T6

.2

6.2

.1 P

ropo

rtio

n o

f po

pul

atio

n us

ing

safe

ly

man

aged

san

itat

ion

serv

ices

, in

clu

din

g a

han

d-

was

hin

g fa

cili

ty w

ith

soa

p an

d w

ater

76

Per

cen

t 2

014

-15

PS

LM

T7

.1

7.1

.1 P

ropo

rtio

n o

f po

pul

atio

n w

ith

acc

ess

to

elec

tric

ity

96.

2 %

2

014

-15

PS

LM

T7

.1

7.1

.2 P

ropo

rtio

n o

f po

pul

atio

n w

ith

pri

mar

y re

lian

ce o

n c

lean

fu

els

and

tech

nolo

gy

25.

9 %

2

014

-15

PS

LM

T8

.3

8.3

.1 P

ropo

rtio

n o

f in

form

al e

mpl

oym

ent

in

no

n-ag

ricu

ltur

e em

plo

ymen

t, b

y se

x

Tot

al -

50.

74,

Mal

e -

47.

93, F

emal

e -

2.8

1 P

erce

nt

201

4-1

5 L

abo

ur F

orc

e S

urv

ey

T8

.5

8.5

.1 A

vera

ge

hour

ly e

arn

ings

of

fem

ale

and

m

ale

emp

loye

es, b

y oc

cup

atio

n, a

ge a

nd

per

sons

wit

h d

isab

ilit

ies

Tot

al=

84.

21 p

/h, M

ale=

83.

80

p/h

, Fem

ale=

9

0.2

1 p

/h

per

hou

r 2

014

-15

LF

S

T8

.5

8.5

.2 U

nem

plo

ymen

t ra

te, b

y se

x, a

ge a

nd

per

sons

wit

h d

isab

ilit

ies

Tot

al=

7.7

1%

, M

ale=

5.7

5%

, F

emal

e=

15.

77%

%

2

014

-15

Lab

our

Fo

rce

Su

rvey

T9

.2

9.2

.2 M

anuf

actu

rin

g em

plo

ymen

t as

a

pro

por

tio

n o

f to

tal

empl

oym

ent

Tot

al=

11.

26%

, Mal

e= 9

.35%

, F

emal

e=1

.91%

%

2

014

-15

Pak

ista

n L

abo

ur F

orc

e S

urv

ey

T11

.7

11.7

.2 P

ropo

rtio

n o

f pe

rson

s vi

ctim

of

phy

sica

l or

sex

ual

har

assm

ent,

by

sex,

age

, d

isab

ilit

y st

atu

s an

d p

lace

of

occ

urre

nce

, in

th

e p

revi

ou

s 12

mo

nth

s

56.

6 P

erce

nt

201

2-1

3 P

DH

S

T1

5.1

15.

1.1

For

est

area

as

a pr

opo

rtio

n of

to

tal

land

ar

ea

17

per

cen

t 2

016

Fo

rest

Dev

elo

pm

ent

Co

rpo

rati

on.

T1

6.1

16.

1.3

Pro

port

ion

of

popu

lati

on s

ubje

cted

to

phy

sica

l, p

sych

olo

gica

l o

r se

xual

vio

len

ce i

n

the

prev

iou

s 12

mo

nth

s

56.

6 p

erce

nt

201

2-1

3 P

DH

S



REPORTING GAP

56

Pro

vin

cial

– S

indh

3

Tar

get

C

od

e In

dic

ato

r D

escr

ipti

on

V

alu

e

Un

it

Yea

r

Sou

rce

T1

.2

1.2

.2 P

ropo

rtio

n o

f m

en, w

om

en a

nd

chil

dre

n o

f al

l ag

es l

ivin

g in

p

over

ty i

n a

ll i

ts d

imen

sio

ns a

ccor

din

g to

nat

ion

al d

efin

itio

ns

Ove

rall

= 4

3.1

%

2

014

-15

Pla

nni

ng

Co

mm

issi

on/

PS

LM

R

ura

l=7

5.5

, Urb

an=

10.6

%

2

014

-15

Pla

nni

ng

Co

mm

issi

on/

PS

LM

T

1.4

1

.4.1

Pro

port

ion

of

pop

ulat

ion

livi

ng

in h

ouse

hol

ds

wit

h ac

cess

to

b

asic

ser

vice

s Im

pro

ved

wat

er s

ourc

e=8

6.0

, F

lush

To

ilet

=6

7, E

lect

rici

ty =

9

1.0

(L

igh

tin

g),

Gas

for

co

oki

ng=

56.0

%

201

4-1

5 P

SL

M

T1

.5

F

lood

and

Rai

n, 2

88 p

eop

le d

ied

in

20

12

Num

ber

201

3 M

ult

i H

azar

d C

onti

genc

y P

lan

20

13

T1

.a

1.a

.1 P

rop

orti

on o

f re

sour

ces

allo

cate

d by

th

e go

vern

men

t d

irec

tly

to

pov

erty

red

ucti

on

pro

gram

mes

6

3.1

%

201

4-1

5 P

RS

P, M

inis

try

of F

inan

ace,

G

OP

T1

.a

1.a

.2 P

rop

orti

on o

f to

tal

gove

rnm

ent

spen

din

g o

n es

sen

tial

ser

vice

s (e

duca

tio

n, h

ealt

h a

nd s

ocia

l pr

ote

ctio

n)

27.

28

%

201

4-1

5 P

RS

P, G

OP

& B

udge

t A

nal

ysis

GO

S

T1

.b

1.b

.1 P

ropo

rtio

n o

f go

vern

men

t re

curr

ent

and

cap

ital

sp

endi

ng

to

sect

ors

th

at d

ispr

opo

rtio

nat

ely

ben

efit

wo

men

, th

e p

oor

and

vu

lner

able

gro

ups

0.9

1 %

2

014

-15

PR

SP

, GO

P &

Bud

get

An

alys

is G

OS

T1

.b

63.

08

%

201

4-1

5 P

RS

P, G

OP

& B

udge

t A

nal

ysis

GO

S

T2

.2

2.2

.1 P

reva

lenc

e of

stu

ntin

g (h

eigh

t fo

r ag

e <

-2 s

tan

dar

d d

evia

tio

n fr

om

th

e m

edia

n o

f th

e W

orld

Hea

lth

Org

aniz

atio

n (

WH

O)

Ch

ild

G

row

th S

tan

dar

ds)

amon

g ch

ildr

en u

nde

r 5

yea

rs o

f ag

e

Mo

der

ate=

20.

8%

, S

ever

e=26

.5%

%

2

011

Nat

ion

al N

utri

tion

Su

rvey

T2

.2

2.2

.2 P

reva

lenc

e of

mal

nu

trit

ion

(wei

ght

for

hei

ght

>+

2 o

r <

-2

stan

dar

d d

evia

tio

n f

rom

th

e m

edia

n of

th

e W

HO

Ch

ild

Gro

wth

S

tan

dard

s) a

mo

ng

chil

dre

n u

nder

5 y

ears

of

age,

by

type

(w

asti

ng

and

o

verw

eigh

t)

Stu

ntin

g= 4

9.0%

, W

asti

ng=

17.

0%,

Und

erw

eigh

t=40

.0%

%

201

1 N

atio

nal

Nut

riti

on S

urv

ey

T3

.1

3.1

.1 M

ater

nal

mo

rtal

ity

rati

o

31

4 P

er 1

00,0

00

live

bir

th

200

6-0

7 P

DH

S

T3.

1 3

.1.2

Pro

port

ion

of

birt

hs

atte

nded

by

skil

led

hea

lth

per

sonn

el

60.

5 %

2

013

-14

PD

HS

T3

.2

3.2

.1 U

nder

-five

mor

tali

ty r

ate

1

04

Per

100

0 li

ve b

irth

2

014

MIC

S

3 If

yo

u ha

ve a

ny

com

men

t or

sug

gest

ion

on

the

rep

ort

, d

ata,

dat

a so

urce

or

a ge

nera

l co

mm

ent,

kin

dly

em

ail

it t

o m

.ali

kem

al@

gmai

l.co

m

or

ali.

kem

al@

undp

.org

or

Nad

eem

.ahm

ed@

undp

.org

.pk



REPORTING GAP

57

T3

.2

Urb

an=

69,

Rur

al=

139

P

er 1

000

live

bir

th

201

4 M

ICS

T3

.2

3.2

.2 N

eon

atal

mo

rtal

ity

rate

5

4 P

er 1

000

live

bir

th

201

2-1

3 P

DH

S

T3

.2

Urb

an=

42,

Rur

al =

62

P

er 1

000

live

bir

th

201

2-1

3 P

DH

S

T3

.3

3.3

.2 T

ub

ercu

losi

s in

cid

ence

per

1,0

00 p

opul

atio

n

48

per

100

0 po

pula

tion

2

012

-13

PD

HS

T3

.3

3.3

.3 M

alar

ia i

nci

den

ce p

er 1

,000

pop

ula

tion

1

.9

per

100

0 po

pula

tion

2

015

Mal

aria

Con

trol

Pro

gram

T3

.7

3.7

.1 P

ropo

rtio

n o

f w

om

en o

f re

pro

duct

ive

age

(age

d 1

5-4

9 y

ears

) w

ho

hav

e th

eir

nee

d f

or

fam

ily

plan

nin

g sa

tisfi

ed w

ith

mo

dern

m

eth

ods

48.

5 %

2

012

-13

PD

HS

T3

.7

3.7

.2 A

dol

esce

nt

bir

th r

ate

(age

d 10

-14

year

s; a

ged

15

-19

year

s) p

er

1,0

00

wo

men

in

th

at a

ge g

rou

p T

otal

= 5

6, U

rban

=42

, Rur

al=

73

Per

1,0

00 w

om

en

201

4 M

ICS

,

T3

.a

3.a

.1 A

ge-s

tand

ard

ized

pre

vale

nce

of

curr

ent

tob

acco

use

am

ong

p

erso

ns a

ged

15 y

ears

and

old

er

Fem

ale=

8.6

, Mal

e=4

7.4

%

2

012

-13

PD

HS

T4

.2

4.2

.2 P

arti

cip

atio

n r

ate

in o

rgan

ized

lea

rnin

g (o

ne

year

bef

ore

th

e o

ffici

al p

rim

ary

entr

y ag

e), b

y se

x

17.

8 T

otal

, 1

7.8

Mal

e,

17.

8

Fem

ale

%

201

4 M

ICS

T4

.5

4.5

.1 P

arit

y in

dic

es (

fem

ale/

mal

e, r

ural

/ u

rban

, bo

ttom

/ to

p w

ealt

h q

uin

tile

and

oth

ers

such

as

dis

abil

ity

stat

us, i

nd

igen

ous

peo

ple

s an

d co

nfl

ict

affe

cted

, as

dat

a b

eco

me

avai

lab

le)

for

all

edu

cati

on

indi

cato

rs o

n th

is l

ist

that

can

be

dis

aggr

egat

ed

Pri

mar

y=0

.86

, Sec

ond

ary=

0.8

1

%

201

4 M

ICS

, SIN

DH

T4

.5

4.5

.1 P

arit

y in

dic

es (

fem

ale/

mal

e, r

ural

/ u

rban

, bo

ttom

/ to

p w

ealt

h q

uin

tile

and

oth

ers

such

as

dis

abil

ity

stat

us, i

nd

igen

ous

peo

ple

s an

d co

nfl

ict

affe

cted

, as

dat

a b

eco

me

avai

lab

le)

for

all

edu

cati

on

indi

cato

rs o

n th

is l

ist

that

can

be

dis

aggr

egat

ed

4.6

.1 P

erce

nta

ge o

f p

opu

lati

on

in a

giv

en a

ge g

roup

ach

ievi

ng

at l

east

a

fix

ed l

evel

of

pro

fici

ency

in

fu

ncti

ona

l (a

) li

tera

cy a

nd

(b)

nu

mer

acy

skil

ls,

by s

ex

Urb

an P

rim

ary=

0.9

8,

Urb

an

Sec

on

dary

=1

.0, R

ura

l P

rim

ary=

0.7

1, R

ura

l S

eco

nda

ry=

0.4

6

%

201

4 M

ICS

, SIN

DH

T4

.5

Po

ore

st=

0.4

5,

Ric

hes

t=0

.99

, (P

rim

ary)

%

2

014

MIC

S, S

IND

H

T4

.6

T=

60

%,

M=

70%

, F

=4

9%

%

201

4-1

5 P

SL

M

T4

.a

4.a

.1 P

rop

orti

on o

f sc

hoo

ls w

ith

acce

ss t

o: (

a) e

lect

rici

ty;

(b)

the

Inte

rnet

for

ped

ago

gica

l pu

rpo

ses;

(c)

co

mpu

ters

fo

r p

edag

ogi

cal

pur

pos

es;

(d)

adap

ted

infr

astr

uct

ure

and

mat

eria

ls f

or

stud

ents

wit

h

dis

abil

itie

s; (

e) b

asic

dri

nki

ng

wat

er;

(f)

sin

gle

sex

bas

ic s

anit

atio

n fa

cili

ties

; an

d (

g) b

asic

han

dw

ashi

ng

faci

liti

es (

as p

er t

he

WA

SH

in

dica

tor

defi

nit

ion

s)

Ele

ctri

city

Pri

mar

y=34

, S

eco

nda

ry=

53

, Hig

h=

87,

Hig

her

=9

7 --

Dri

nki

ng W

ater

P

rim

ary=

47

, Mid

dle

=60

, H

igh

=9

4, H

igh

er S

ec.=

96 -

--

San

itat

ion

Pri

mar

y =

51

, Mid

dle=

7

0, H

igh

= 9

9,

Hig

her

Sec

. = 9

7

%

201

5-1

6 P

akis

tan

Ed

ucat

ion

Sta

tist

ics



REPORTING GAP

58

T5

.5

5.5

.1 P

ropo

rtio

n o

f se

ats

held

by

wo

men

in

nat

iona

l p

arli

amen

ts a

nd

loca

l go

vern

men

ts

18.

5 P

erce

nt

201

7 h

ttp

://w

ww

.pak

p.go

v.p

k/2

01

3/m

emb

ers-

dir

ecto

ry/w

om

en-r

eser

ved

-se

ats/

T5

.5

5.5

.2 P

ropo

rtio

n o

f w

om

en i

n m

anag

eria

l p

osit

ions

0

.97

Per

cen

t 2

014

-15

LF

S

T6

.2

6.2

.1 P

ropo

rtio

n o

f po

pul

atio

n us

ing

safe

ly m

anag

ed s

anit

atio

n se

rvic

es,

incl

udi

ng

a h

and

-was

hing

fac

ilit

y w

ith

soa

p an

d w

ater

6

7 P

erce

nt

201

4-1

5 P

SL

M

T7

.1

7.1

.1 P

ropo

rtio

n o

f po

pul

atio

n w

ith

acc

ess

to e

lect

rici

ty

91.

28

%

201

4-1

5 P

SL

M

T7

.1

7.1

.2 P

ropo

rtio

n o

f po

pul

atio

n w

ith

pri

mar

y re

lian

ce o

n c

lean

fue

ls

and

tec

hno

logy

5

6.3

4 %

2

014

-15

PS

LM

T8

.3

8.3

.1 P

ropo

rtio

n o

f in

form

al e

mpl

oym

ent

in n

on-a

gric

ultu

re

emp

loym

ent,

by

sex

O

vera

ll=

40

.30,

Fem

ale=

38.

12,

Mal

e=2

.18

%

201

4-1

5 L

FS

T8

.5

8.5

.1 A

vera

ge

hour

ly e

arn

ings

of

fem

ale

and

mal

e em

plo

yees

, by

occ

upat

ion

, age

an

d pe

rson

s w

ith

dis

abil

itie

s T

otal

=8

9.85

p/h

, Mal

e=9

1.7

4 p/

h,

Fem

ale=

63

.55

p/h

p

er h

our

201

4-1

5 L

FS

T8

.5

8.5

.2 U

nem

plo

ymen

t ra

te,

by s

ex,

age

and

per

sons

wit

h d

isab

ilit

ies

Tot

al=

4.6

6%

, M

ale=

3.5

7%

, F

emal

e= 1

0.9

4%

%

201

4-1

5 L

FS

T9

.2

9.2

.2 M

anuf

actu

rin

g em

plo

ymen

t as

a p

ropo

rtio

n o

f to

tal

empl

oym

ent

Tot

al=

15.

17%

, Mal

e= 1

3.6

6%

, F

emal

e=1

.51%

%

2

014

-15

LF

S

T11

.7

11.7

.2 P

ropo

rtio

n o

f pe

rson

s vi

ctim

of

phy

sica

l o

r se

xual

har

assm

ent,

b

y se

x, a

ge, d

isab

ilit

y st

atu

s an

d p

lace

of

occ

urr

ence

, in

th

e pr

evio

us

12

mon

ths

25

Per

cen

t 2

012

-13

PD

HS

T1

6.1

16.

1.3

Pro

port

ion

of

po

pula

tio

n s

ub

ject

ed t

o p

hysi

cal,

psy

chol

ogi

cal

or

sexu

al v

iole

nce

in

th

e p

revi

ous

12

mo

nth

s 2

5 p

erce

nt

201

2-1

3 P

DH

S



REPORTING GAP

59

Pro

vin

cial

– B

aloc

his

tan

4

Ta

rget

C

od

e In

dic

ato

r D

escr

ipti

on

V

alu

e

Un

it

Yea

r

Sou

rce

T1

.2

1.2

.2 P

ropo

rtio

n o

f m

en, w

om

en a

nd

chil

dre

n o

f al

l ag

es l

ivin

g in

p

over

ty i

n a

ll i

ts d

imen

sio

ns a

ccor

din

g to

nat

ion

al d

efin

itio

ns

Ove

rall

= 7

1.2

%

2

014

-15

Pla

nni

ng

Co

mm

issi

on

/PS

LM

Ru

ral=

84.

6,

Urb

an=

37.

7

%

201

4-1

5 P

lan

nin

g C

om

mis

sio

n/P

SL

M

T1

.a

1.a

.1 P

rop

orti

on o

f re

sour

ces

allo

cate

d by

th

e go

vern

men

t di

rect

ly t

o p

over

ty r

educ

tio

n p

rogr

amm

es

71.

9 %

2

014

-15

PR

SP

, Min

istr

y of

Fin

anac

e, G

OP

T1

.a

1.a

.2 P

rop

orti

on o

f to

tal

gove

rnm

ent

spen

din

g on

ess

enti

al s

ervi

ces

(edu

cati

on,

hea

lth

and

soc

ial

pro

tect

ion

) 3

2.3

0 %

2

014

-15

PR

SP

, GO

P &

Bud

get

An

alys

is G

OS

T2

.2

2.2

.1 P

reva

lenc

e of

stu

ntin

g (h

eigh

t fo

r ag

e <

-2 s

tan

dar

d d

evia

tio

n fr

om

th

e m

edia

n of

th

e W

orl

d H

ealt

h O

rgan

izat

ion

(WH

O)

Ch

ild

Gro

wth

S

tan

dard

s) a

mo

ng

chil

dre

n u

nder

5 y

ears

of

age

Mo

der

ate=

24.

1%

, S

ever

e=2

5.1

%

Per

cen

t 2

011

Nat

ion

al N

utri

tion

Su

rvey

T2

.2

2.2

.2 P

reva

lenc

e of

mal

nu

trit

ion

(wei

ght

for

hei

ght

>+

2 o

r <

-2 s

tand

ard

d

evia

tio

n f

rom

th

e m

edia

n o

f th

e W

HO

Ch

ild

Gro

wth

Sta

ndar

ds)

am

on

g ch

ildr

en u

nder

5 y

ears

of

age,

by

type

(w

asti

ng a

nd o

verw

eigh

t)

Stu

ntin

g= 4

8.0%

, W

asti

ng=

16.

0%,

Und

erw

eigh

t=24

.0%

Per

cen

t 2

011

Nat

ion

al N

utri

tion

Su

rvey

3

.1.1

Mat

erna

l m

ort

alit

y ra

tio

7

85

Per

100

,00

0 li

ve

bir

th

200

6-0

7 P

DH

S

3

.1.2

Pro

port

ion

of

birt

hs

atte

nded

by

skil

led

heal

th p

erso

nnel

1

7.8

%

201

2-1

3 P

DH

S

3

.2.1

Und

er-fi

ve m

orta

lity

rat

e

111

%

2

012

-13

PD

HS

3

.2.2

Neo

nat

al m

ort

alit

y ra

te

63

Per

100

0 li

ve b

irth

2

012

-13

PD

HS

T3

.3

3.3

.2 T

ub

ercu

losi

s in

cid

ence

per

1,0

00 p

opul

atio

n

63

%

201

2-1

3 P

DH

S

T3

.3

3.3

.3 M

alar

ia i

nci

den

ce p

er 1

,000

pop

ula

tion

9

9.6

per

100

0 p

opul

atio

n 2

015

Mal

aria

Con

trol

Pro

gram

T3

.7

3.7

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REPORTING GAP

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REPORTING GAP

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REPORTING GAP

62

AnnexureIITechnical Sub-Committees

1. Poverty Labour and Employment

Ÿ Mr. Iftikhar Cheema, Senior Consultant, OPM

Ÿ Mr. Zafar ul Hasan, Chief Poverty Alleviation and SDGs, Ministry of Planning, Development and Reform

Ÿ Dr. G. M Arif, Demographer

Ÿ Dr. Aliya H. Khan, Professor of Economics, QAU

Ÿ Dr. Sajid Amin Javed, Research Fellow, SDPI

Ÿ Mr. Muhammad Arif Sargana, Director PTA

2. Poverty Labour and Employment

Ÿ Dr. Durr-e-Nayab, Joint Director, PIDE

Ÿ Mr. Nasir Amin, Incharge, NEMIS

Ÿ Chief Education Section, Ministry of Planning, Development and Reform

Ÿ Dr. Sajid Rasool, DG, Punjab Bureau of Statistics

Ÿ Dr. Wajid Hussain, Director, Bureau of Statistics, AJK

3. Health

Ÿ Dr. Samina Shafique, National Wash Coordinator, Ministry of Climate Change

Ÿ Chief Health Section, Ministry of Planning, Development and Reform

Ÿ Dr. Ahsan, Epidemiologist, Health Planning Strengthening and Analysis Unit (HPSAU), Ministry of National Health and Regulation

Ÿ Dr. Ayesha Shiraz, NIPS

Ÿ Dr. Sajid Rasool, DG, Punjab Bureau of Statistics

Ÿ Representatives from World Health Organization (WHO)

Ÿ Representative from UNICEF

4. Water and Sanitation

Ÿ Mr. Irfan Tariq, DG, Ministry of Climate Change

Ÿ Chief Water and Sanitation Section, Ministry of Planning, Development and Reform

Ÿ Dr. Zahid Asghar, Associate Professor, Department of Statistics, QAU

Ÿ Mr. Niazullah, Consultant, Ministry of Climate Change

Ÿ Mr. Kamran Naeem, Wash Specialist, UNICEF



REPORTING GAP

63

AnnexureIIIData Availability in Pakistan

First Cut

October 2016

Introduction:

The Mainstreaming, Acceleration, and Policy Support (MAPS) project for SDGs hinges on the ability of the national statistical system to provide the basis for localization and mainstreaming SDGs in national policies, plans, and investments. While there are several discrete steps in the localization and prioritization process, however, this data gap analysis provides the starting point. The following steps are crucial for operationalizing the MAPS in country context:

1. Strengthening the national data system to report on SDGs;

2. Strengthening the national data system to provide benchmarks, midterm and long term targets;

3. Provide an objective basis of prioritizing SDGs in a global and local context;

4. Create mapping between the earmarked resources and SDG targets; and,

5. Create progress reviews and provide feedback to national and sub national SDG plans.

The whole process of aligning national statistical systems with SDGs begins from taking an objective stocktaking of this system vis-à-vis SDGs. This process has three phases. The first phase consists of a desk review to assess the availability of data and prepare a provisional document for broader stakeholder consultations and validation. The second phase consists of nation-wide stakeholder consultations to match indicators with identified provincial development priorities and local context. The third phase is to establish standards for each indicator at the federal, provincial and district levels. The third phase will produce a report on the main findings of consolations.

This report presents the first part of a three-phased process of analyzing the data gaps for SDG indicators. The report is based on a desk review of all major secondary data sources. The result of this review is a detailed spreadsheet depicting the status of data availability for required disaggregation, and also the level of effort needed to bridge the gaps. The detailed information has been summarized into summary tables depicting data availability for indicators by administrative levels and demographic groups. Finally, the analysis also shows the level of effort and resources, by showing the added coverage of SDG indicators by minor, moderate and major efforts.

Pakistan's reporting needs context on SDGs:

Pakistan has made significant progress within the MDG framework, but a lot more remains to be done. Apart from the MDG target of reducing, by half, the proportion of population living below poverty line, Pakistan has not demonstrated a similar impressive progress on most MDG targets. Of the 16 targets and 41 indicators of the MDGs, time series data available for 33 indicators revealed that Pakistan achieved targets for only three indicators. In total, Pakistan ended up to be on track on 9

17indicators, and off track on 24.

Pakistan's sub optimal performance on MDGs can be attributed to many reasons, but most important is the dichotomous nature of the economy which shows decent progress in income indicators as opposed unsatisfactory growth on social indicators. Adding to these lagging social indicators, is the unpreparedness to localize global environmental and natural resources' goals into the national development agenda. This landscape was clear to the present government which prompted them to create an alignment of the long term development program, Vision 2025, with SDGs. The Vision 2025 has seven pillars and five enablers and these pillars and enablers map nicely to the SDG goals.

MDGs differ from SDGs in several qualitative ways and therefore it is vital to step back from the data system developed to monitor the MDGs, and develop a novel system based on data needs arising from commitment to the SDGs.

The SDGs explicitly recognize that our modes of production and consumption, and resulting prosperity, should not be at the cost of the planet's sustainability. Leaving no one behind and being people centric is a central feature of the SDGs. This requires disaggregation of data by gender, regions, and different kinds of marginalization, subsequently making data collection and reporting needs much bigger than that of the MDGs.

The SDGs is, in essence, a holistic agenda. This means that the division between global and local is, in reality, meant for translating the global agenda into national plans, and not for making convenient, yet wrong, choices.



REPORTING GAP

17. Pakistan progress on MDGs. http://www.pk.undp.org/content/pakistan/en/home/post-2015/mdgoverview/

64

Data Sources and Data Needs:

The desk review considered these aspects while analyzing the data gaps. In Pakistan, there are two broad sources of socioeco-nomic data. First is from surveys conducted by public or private sector organizations, and second is the data available at the institutional level. The desk review considered major available secondary sources of information for analyzing data gaps, including the following:

1. Pakistan social and living standards measurement (PSLM)

2. Household income and expenditure survey (HIES)

3. Labor force survey (LFS)

4. Agriculture census

5. Agriculture statistics

6. National accounts

7. Multiple indicators cluster survey (MICS)

8. Pakistan demographic and health survey (PDHS)

9. National nutrition survey (NNS)

10. Socioeconomic registry of BISP

11. Energy Statistics

12. Public Sector Development Expenditures (PSDP)

13. Annual development Plan (ADP)

14. PIFRA

15. National Disaster Management Authority (NDMA)

16. Provincial Disaster Management Authority (PDMA)

17. Ministry of National Food Security and Research (MoNFSR)

18. Pakistan Agriculture Research Council (PARC)

19. Ministry of Climate Change (MoCC)

20. Economic Affairs Division (EAD)

21. Ministry of National Health Services Regulation and Coordination (MoNHSRC)

22. Ministry of Federal Education and Professional Training (MoFEPT)

23. National Education Assessment System (NEAS)

24. Education Management and Information System (EMIS)

25. Annual Status of Education Report (ASR)

Pakistan bureau of statistics (PBS) is the major organization involved in the collection of socioeconomic data and also for compiling national accounts. At the federal and provincial levels, several ministries/departments are responsible for collect-ing social data at the institutional level. Besides these, there are various other agencies in the public and private sectors

18gathering data on various socioeconomic, natural resources, and climate indicators.

The review process followed the guidance by Inter-agency Expert Group on SDG Indicators. They classify data according to four codes:

1. First code shows the availability of regular data and also availability of standards

2. Second code shows that data is not regular but standards area available

3. Third code shows that neither data nor standards are available and finally

8. Fourth code shows that indicator is not relevant.

In the aforementioned codes, code 1 represents the ideal situation, code 2 pertains to the fact that small changes are required in order to make data available at the respective level, whilst code 3 presents a bigger challenge. With an objective to codify the data availability for all indicators at national and sub national levels, as well as to create additional information on the following, the review process analyzed each indicator for the following:

1. Indicator is mean of implementation (MoI) or output indicator (OI)

2. How many other indicators an indicator is linked with?

3. Levels of disaggregation required

4. Sources of data



REPORTING GAP

18. For further reading, please refer to “Compilation of Metadata for the Proposed Global Indicators for the Review of the 2030 Agenda for Sustainable Development.” Available at https://unstats.un.org/sdgs/iaeg-sdgs/metadata-compilation/

5. Data reporting level

6. Data availability at national, provincial, and district levels

7. Suggested action to reduce data availability gaps at national and sub national levels

While all pieces of information are important, item 2, item 3, item5, item 6, and item 7 carry special significance. Item 2 is an outcome of the review process but it creates information for the next stage of the localization of SDGs, i.e. prioritization. It shows the Net Systemic Contribution Extent to which an action contributes, over time, to the integrated achievement of the Critical Success Factors. Item 3 shows the required levels of disaggregation and resulting reporting needs. Item 5 shows the reporting levels and item 6 tracks the availability of reporting levels for each indicator. Finally, item 7 shows the suggested actions. Suggested actions depend upon the codes of item 6, i.e. data availability at national and sub national levels.

The actions suggested in item 6 may range from minor actions, like adding a few questions in a survey module, to starting full-fledged dedicated questionnaires. For example, in order to create information on indicator 4.4.1 (Proportion of youth and adults with information and communications technology (ICT) skills, by type of skill), all that is needed is to add few questions in the education module of PSLM. However, for creating information on goals 14 and 15 (life on land and life below water), a whole range of data needs and institutional arrangements demand serious thinking and efforts.

Review Findings and Way Forward:

Keeping the data gap context and possibilities of aligning and strengthening the survey and institutional data sources, the review process generated detailed information on,

Ÿ data gaps at different reporting levels

Ÿ Details of data gaps for seventeen SDGs at different administrative levels

Figure 1 shows the data gap at the federal, provincial, and district levels. Out of 241 indicators, standard and data is available

for 125 indicators for National. However, the availability of number of indicators reduces drastically at disaggregated level for provinces and districts.

It means that most of the survey instruments and institutional data lack indicator coverage at district level. There are several options to increase the indicators coverage at the district level. First is to increase the coverage of major survey data from provincial level representation to district level representation. Second is to build synergy between MICS and PSLM. MICS is conducted by provincial governments and it goes down to the sub-district level. While MICS representation at a lower level is good, howver, MICS is not done regularly neither is it conducted in all provinces simultaneously, which lowers its attractive-ness for national planning and monitoring and evaluation.

While there can be several approaches to increase coverage at the district level, one should consider rationalizing the periodicity of socioeconomic surveys, especially in the context of slow changing indicators. Deliberations may be done on

65

Figure 1: Summary of Data Gap

Code 1 = Data available on regular basis and standards are available

Code 2 = Data available but not on regular basis, however standards are available

Code 3 = Data not regularly produced and standards need to be developed

Code 8 = Indicator is not applicable for this level

Federal

provincial

District

125 32 81 3

71 30 94 46

27 13 91 110



REPORTING GAP

the number of surveys between now and 2030, to track Pakistan's progress on SDGs. This number may help in undertaking decisions related with consolidation between surveys, rationalizing periodicity, and increasing indicators' district coverage.

Strengthening data system vis-à-vis SDG indicators will not only help increase regional coverage, but also increase coverage of indicators. Figure 2 presents the goal wise situation of coverage at the federal level.

The overall data availability is decent for social indicators, for e.g. for health goal, there are 50 percent indicators with code 3, for quality education again 50 percent, for inequalities 50. However, for other goals, the situation is more challenging, for e.g. for goal of responsible consumption & production, the number of indicators with code 3 is 80 percent, for life below water it is 90 percent, for life on land 50 percent, and for peace it is 60 percent. The overall summary is that data gap for climate, life on land, and life under ocean goals is bigger than data gap for social indicators.

Figure 3 represents the data availability situation at the provincial level. Compared to the federal level, the data gap gets bigger at the provincial level. This is particularly true for goals 3 (Health), 12 (Consumption & Production), 14 (Life below Water), 15 (Life on Land) and 16 (Peace, Justice). The goals 4 (education), 6 (Water) and 8 (work) are also affected at the provincial level with data availability issues. Second, relevance of indicators to provincial level is also reduced. There are 17 indicators of goal 17 (Partnerships) which become irrelevant at the provincial level. Findings at the provincial level show that the number of indicators with code 3 increases substantially, thus increasing the load on the national data system.

The district level analysis shows that there are serious data gaps at district level (figure 4). There is clear distinction between the comparison between federal and provincial level and between federal and district level. Coverage of sustainable con-sumption/production, peace, climate, ecosystem, and environment was not good at the federal level and it did not improve at the provincial level. Coverage of social indicators also declined, however by not a very high margin. Transition is not the same between provincial and district levels. At the district level, coverage of social side decreases and indicators with green (code 1) become smaller in size, alongside indicators with code 3 increases for same goals. For goals related with Ps of “Planet”, “Peace”, and “Partnership”, either indicators are not relevant at the district level or they are not available. Most of these goals get code of 3 or 4. Apart from PSLM and MICS survey that partially collected MDGs, there is no system available to local governments to capture the indicators of SDGs at the district level. In order to create information on indicators having code 3, substantial effort needs to be done at the national level.

66

SDG 01 : No Poverty (T = 7, i= 12)

SDG 02 : Zero Hunger (T = 8, i = 14)

SDG 03 : Good Health & Well-being (T = 13, i = 26)

SDG 04 : Quality Education (T = 10, i = 11)

SDG 05 : Gender Equality (T = 9, i = 14)

SDG 06 : Clean Water & Sanitation (T = 8, i = 11)

SDG 07: Affordable & Clean Energy (T = 5, i = 6)

SDG 08 : Decent Work & Economic Growth (T = 12, i = 17)

SDG 09 : Industry, Innovation & Infrastructure (T= 8, i = 12)

SDG 10 : Reduce Inequalities (T = 10, i = 11)

SDG 11 : Sustainable Cities & Communities (T = 10, i = 15)

SDG 12 : Responsible Consumption & Production (T = 11, i = 13)

SDG 13 : Climate Action (T = 5, i = 7)

SDG 14 : Life below Water (T = 10, i = 10)

SDG 15 : Life on Land (T = 12, i = 14)

SDG 16 : Peace, Justice & Strong Institutions (T = 12, i = 23)

SDG 17 : Partnerships for the Goals (T = 19, i = 25)

11 1

10 4

12 4 10

5 1 5 0

10 3 10

5 51 0

5 1

14 30

7 4 10

3 3 5 0

4 6 4 1

1 2 10 0

6 01

1 9 0

3 4 7 0

8 1 14 0

20 3 2 0





Figure 2: Coverage at Federal Level



REPORTING GAP

67

9

6

9

3

9

2

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7

3

1

4

1

5

1

5

4 1

1

1

1

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1

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3

6

4

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5

0 4

5

30

5

5 0

4

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80

0

80

1 10

13

3






















Figure 3: Provincial-Number of indicators by SDG and data availability

2 1 18

3 3 80

5 2 18 1

12 17

70 43

2 1 3 5

1 1 4

1 10 6

12 9

6 5

2 5 4 4

0 6 7

01 6

0 10

2 12

3 1 13 6

2 2 210






















Figure 4: District-Number of indicators by SDG and data availability



REPORTING GAP

68

Acknowledgments



REPORTING GAP

Ministry of Planning, Development and Reform, Government of Pakistan

Mr. Zafar-ul-Hasan

Dr. Naeem-uz-Zafar

Mr. Nadeem Ahmed

Mr. M. Ali Kemal

Ms. Schanzah Khalid

Dr Asma Hyder

Mr. Azfar Ali

Mr. Khalid Mushtaq

Ms. Fizza Ali

Chief (Poverty and SDGs)

Ex. Social Policy Advisor (Federal SDG Support Unit)

Social Policy Advisor (Federal SDG Support Unit)

Economic Policy Advisor (Federal SDG Support Unit)

Research Analyst (Federal SDG Support Unit)

Member (Social Sector)

Federal SDG Support Unit

Federal SDG Support Unit

Intern (Federal SDG Support Unit

1.

2.

3.

4.

5.

6.

7.

8.

9.

Pakistan Bureau of Statistics, Government of Pakistan

Ms. Rabia Awan Economic Policy Advisor (Federal SDG Support Unit)1.

Department of Health, Government of Pakistan

Dr. Asif Deputy Chief1.

UNDP Pakistan

Mr. Shakeel Ahmed

Ms. Naveeda Nazir

Dr. Rizwan-ul-Haq

Mr. Umer Akhlaq

Mr. Minhaj-ul-Haq

Assistant Country Director

Policy Associate

Statistician

Policy Analyst

Consultant

1.

2.

3.

4.

5.

“Core Team”

“Supporting Team”

United Nations Development ProgrammeDevelopment Policy Unit

4th Floor, Serena Business Complex, Khayaban-e-Suharwardy, Sector G-5/1, P.O. Box 1051, Islamabad, Pakistan

www.pk.undp.org

Planning Commission of PakistanMinistry of Planning, Development and Reform

Poverty Alleviation and SDGs SectionP-Block, Pakistan Secretariat, Islamabad, Pakistan

http://pc.gov.pk/web/sdg

Draft Report – Not to be quotedFor Comments, corrections and suggestions kindly email at

[email protected] or [email protected] or [email protected]

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