GIS based Census Data Dissemination

H. FurutaLecturer/Statistician

SIAP

1

Training Course on Analysis and Dissemination of Population and Housing Census Data with Gender Concern 3 - 7 October 2011, Dili, Timor-Leste

Contents

• Statistical Maps• What is GIS• Small area statistics• Grid square statistics• DID (Densely Inhabited District)• Demo: Web GIS of Japan

2

Population density by administrative boundary “prefectures”

Population per square kilometer

3

Population density by administrative boundary “municipalities”

Population per square kilometer4

Workers and students commuting to Ku-area of Tokyo

5

Webpage of ‘Statistical Maps of Japan’• SBJ(www.stat.go.jp) – English – Statistics – Region/Geographic Information

– Statistical maps of Japan• URL: 　 http://www.stat.go.jp/english/data/chiri/map/index.htm

6

Population Census 2005 Statistical Maps of Japan

7

• Ready-made thematic maps• Formerly, provided in the form of atlas or poster to the limited users• Now, available on the web for all the public

What is GIS

Geographic Information System

8

Statistical GIS

• Stat Map = Map + Stat data

• Stat GIS = GIS application + Boundary data of regions + Disaggregated data by region

• Sometimes, point data (coordinates) , such as place of the regional office, represents the region.

9

Boundary data

• Administrative area– Not stable

• Measures against instability– Concept of BUB (Basic Unit Block) in Japan– Grid square using latitude and longitude

10

Disaggregated data by region

• Administrative area– Prefectural governments (47)– Municipalities (city, town, village)

• Minimal survey area– BUB– ED

11

Geo-Relational Model

Layer 1 : Roads and houses

Layer 2 : Rivers

Layer 3 : Land use

Layer 4 : Land image

Real world

12

13

Analysis　by　GISRoad map

Area within 1 km of a road

Land image map

Comparatively flat area

Land use

Not forest area

Result of analysis

Small Area Statisticsby BUB/EA

Boundary data of each EA Disaggregated data by EA,

such as, population by sex and age group and number of households

14

15

Inundated Area Map of three prefectures of suffering of East Japan great earthquake disasters

Iwate prefecture

Miyagiprefecture

Hit by TSUNAMI

on 11 March 2011

16

Inundated Area Map of three prefectures of suffering of East Japan great earthquake disasters

　 Populattion Household

Total 510,697 179,278

Iwate　prf. 107,503 39,673

Miyagi　prf. 331,902 116,758

Fukusima　prf. 71,292 22,847

2010 Population Census Preliminary Counts of the Population and Households

Number of the population, the households which lived in the inundation area

Fukusimaprefecture

Fukushima Atomic Power Plant

17

Inundated Area Map made by Geospatial Information Authority

Miyagi pref. Kesennnuma Ciry

aerial photo

Inundated Area Map

18

Calculating population and the number of the households with small area statistics

BUB/ED

Grid Square Statistics

19

20

Grid square statistics

Administrative boundaries have varied sometimes

== time series comparison becomes difficult Administrative boundaries are not suitable for small area analysis

The Statistics Bureau has reorganized the result of the Population Census and the

Establishment and Enterprise Census into small regional square of approximately 1km2

(1Km x 1Km) and 0.25km2 (500m x 500m), dividing the whole area of Japan by latitude and

longitude.

21

Assignment of enumeration districts into grid squares

Boundary data of each grid square Statistical data by grid square

Grid square statistics in Japan• English pages available• http://www.stat.go.jp/english/data/mesh/index.htm• Ready-made compiled statistical data by grid squares• GIS software used for presenting maps of grid square statistics

22

23

Population change of Tokyo area between 1995 and 2005 by grid square statistics

Red: Increase by more than 1,000 people

Blue: decrease by more than 1,000 people

24

Population of the aged 65 years and over

and over

Many marginal hamletsIn intermediate and mountainous area

in Chugoku District

25

Population of the aged 65 years and over

Chugoku District

Tohoku District

DID (Densely Inhabited District)

26

Densely Inhabited District

Promotion law for consolidation of towns and villages was enforced in1953.

City Areas became larger than before and urban features of the word “city” changed.

Year Number of

city

Number of

towns

Number of

villages

Total

1953 286 1,966 7,616 9,868

1956 498 1,903 1,574 3,975

2010 779 844 197 1,727

32

Municipal mergers

1999-2006

A DID was established as one of regional presentations for Population Census 1960.

A DID consists of adjoining basic unit blocks that have high population density of 4,000 person/Km2 and overall population adds up to 5,000 residents or more.

A DID is used as one of calculation criteria for the amount of Local Allocation Tax which is annually grated from the national government to the local government.

A DID is also used as a basis for planning policy such as town planning, redevelopment of urban areas, or disaster prevention measures.

33

Densely Inhabited District

34

Densely Inhabited District

35

Densely Inhabited District

36

Densely Inhabited District

Go to Demo:

Web GIS of e-Stat as a part of e-Gov Japane-Stat (http://www.e-stat.go.jp ) – Click ‘English’

32

Portal of Official Statistics of Japan

33

• e-Stat (http://www.e-stat.go.jp ) – Click ‘English’

Selecting statistical table

34

(A) Easy way: Select set of tables

(B) Select census/survey Select table/item

Presenting statistical map

35

1. Default: Whole Japan

2. Go to selected prefecture

Map of Chiba Prefecture• Go to seleted municipality

– Mihamaku, Chiba city

36

Map of Mihama-ku, Chiba-city• Focus on the area around Kaihim-Makuhari St.

37

Kaihim-MakuhariStation

Map of Kaihim-Makuhari

38

STATION

SIAP

HOTEL

shopping

store

Number of total population and pie chart of gender in small area statistics

39

Select statistical

itemst

PropertiesSet ChartSet Label

Aggregates of small areas within radius 500m from Akihabara Station

40

AkihabaraStation

Tabulation based on selected boundary

Select boundary