NCC RESEARCH REPORT G I C O A L L O R D O E E P T A E R T M M A E I N D T N I N E A R T T I O N N E C A L E T C A L I M NATIONAL CLIMATE CENTRE OFFICE OF THE ADDITIONAL DIRECTOR GENERAL OF METEOROLOGY (RESEARCH) INDIA METEOROLOGICAL DEPARTMENT PUNE - 411 005 RR No. 2/2011 SEPTEMBER 2011 New rainfall series for the districts, meteorological sub-divisions and country as whole of India P. Guhathakurta, A. L. Koppar, Usha Krishnan and Preetha Menon
Transcript
NCC RESEARCH REPORT
GICO AL LO R DO EE PT AE RTM M
A EI ND TN I
N
EA RT TIO NN ECA L E TC ALIM
NATIONAL CLIMATE CENTREOFFICE OF THE
ADDITIONAL DIRECTOR GENERAL OF METEOROLOGY (RESEARCH)INDIA METEOROLOGICAL DEPARTMENT
PUNE - 411 005
RR No.
2/2011
SEPTEMBER
2011
DESIGNED & PRINTED ATTHE METEOROLOGICAL OFFICE PRESS, OFFICE OF THEADDITIONAL DIRECTOR GENERAL OF METEOROLOGY (RESEARCH),PUNE
NCC
New rainfall series for
the districts, meteorological
sub-divisions and
country as whole of India
P. Guhathakurta, A. L. Koppar, Usha Krishnanand Preetha Menon
National Climate Centre Research Report No: 2/2011
New rainfall series for the districts, Meteorological sub-divisions and
Country as whole of India
P. Guhathakurta, A. L. Koppar, Usha Krishnan, Preetha Menon
1 Document title New rainfall series for the districts, meteorological sub-divisions and country as whole of India
2 Document type Research Report 3 Issue No. NCC Research Report No. 2/2011 4 Issue date 28th September, 2011 5 Security
Classification Unclassified
6 Control Status Unclassified 7 No. of Pages 26 8 No. of Figures 5 9 No. of reference 2 10 Distribution Unrestricted 11 Language English 12 Authors/ Editors P. Guhathakurta, A.L Koppar, Usha Krishnan and
Preetha Menon 13 Originating
Division/Group Hydrology Division, Office of ADGM (R), India Meteorological Department, Pune
14 Reviewing and Approving Authority
Additional Director General of Meteorology (Research), India Meteorological Department, Pune
15 End users Climatologist, Climate Prediction groups, State and Districts authorities, Disaster Managers, Hydrological planners and Researchers, Government Officials etc.
16 Abstract India Meteorological Department is maintaining and regularly updating the oldest rainfall series (1875- till date for the country as a whole and for the meteorological subdivisions. This data utilizes by a wide variety of community for different application. So far there is no such series for the districts of the country. The present report discusses the new rainfall series of all available districts form 1901 to till date. Also the subdivision and all India series are generated from the district series. The report gives the detail information regarding the number of stations and districts for every year for which data are generated. It also compares the series with the available series of the department.
17 Key Words Rainfall data series, districts, subdivisions.
1
1. Introduction
India Meteorological Department (IMD) after its establishment in 1875, took
initiative to install more and more rain-gauges around the country to capture the
complex variation of rainfall across the country. India Meteorological Department
collects rainfall data of all the raingauge stations from all over the country, and then
scrutinizes, processes and finally archives at National Data Centre, Pune. IMD also
prepares different rainfall data products. Blanford (1886) the first head of the India
Meteorological Department took personal effort to collect rainfall data from all the
provinces and had brought out the detailed analysis of rainfall pattern over India. His
work is well referred and is recognized as the most valuable information on rainfall
distribution over India. Due to these efforts of IMD, a long time series of rainfall data
from a fairly uniform network of stations is available for research work. These rainfall
data is available for 36 meteorological subdivisions and all India starting from 1875
onwards. Many researchers used these precious data for examining the spatial and
temporal variation of rainfall across the country.
1.1 Status of existing rainfall series of India Meteorological Department
Rainfall data of around 9000 raingauge stations of variable period are available
at the National Data Center of India Meteorological Department. These data are being
received at Hydrology division of India Meteorological Department, Pune from
departmental observatories as well as different state Rainfall Registration Authorities. At
present rainfall data of around 7500 raingauge stations are being received. The monthly
rainfall series (1875-1991) of meteorological subdivisions are available at India
Meteorological Department is based on the simple arithmetic mean of monthly rainfall
values of the concerned raingauge stations within the each sub-division.
In order to accommodate larger demands from the state authorities, India
Meteorological Department has started District Rainfall Monitoring Scheme(DRMS)
initially from 1989 for only the southwest monsoon season and later from 1992 round
the year. Monthly rainfall series for each Subdivision and also all India is available from
1992 onwards using the DRMS stations data which are varying around 2000 to 2500
stations. However different methodologies are used for this data series. Simple
arithmetic mean was used to compute districts rainfall. For subdivision rainfall arithmetic
mean of districts rainfall was used up to the year 2004. From 2004, for getting
2
subdivision rainfall, area weighted method of district rainfall is being used till date. The
series from 1992 to 2010 is prepared on near real time and is based on the DRMS data
of lesser number of stations than the prior values.
Thus the subdivision rainfall series 1875-2010 is not based on the uniform
methodology and also not on uniform number of stations. However it is difficult to have
a long series of data of uniform number of station to represent more than 600 districts of
the country but it is possible to have rainfall series based on uniform methodology.
An effort was made to construct homogeneous rainfall series using uniform
number of stations by Guhathakurta and Rajeevan (2006). This data series is based on
1476 stations and is from 1901-2003 and used 458 districts. This data series is not
updated further.
1.2 Need for the new series
There is a large demand from different users for long term data series for every
district and the country. Variable number of stations as well as variable methods of
computations were used for the present data series for subdivisions and all India
(1875-2010). For the analysis of variability of rainfall in districts or subdivision scale it is
extremely necessary to have good data series. It is also necessary for developing
empirical based rainfall forecast models for sub-divisions, homogeneous regions and
country as a whole.
2. Data and methodology Monthly rainfall data of 6926 stations for the period 1901 to latest are taken
from the archival of National Data Center of India Meteorological Department. The data
available for all the stations are of variable periods.
India Meteorological Department has recently updated the rainfall normal
(1951-2000) and rainfall monitoring are now done for 641 districts. All the raingauge
stations are therefore reallocated to represent all these new districts. Monthly rainfalls of
all the districts are then computed by arithmetic mean of the available stations in the
concern district of individual year. The availability of data for the first half of the 20th
century is very poor for Arunachal Pradesh. Data series could be prepared for most of
3
the districts of this state from the year 1965-66 with only exception for Changlang
district and East Siang district. Year-wise number of stations for which data were used
to compute the district values is also made (not shown).
From the district rainfall series so constructed, subdivision rainfall series for all
the months, seasons and annual are constructed using the district area weighted
method. Finally all India rainfall for all the months, seasons and annual are computed
using the area weighted method from the subdivision values.
3. Result and Analysis 3.1 Details about the new rainfall series
Table 1 shows the information regarding the district rainfall series that has been
computed for the different years starting from 1901. Availability of the district data and
also missing years for each state in the final rainfall series is shown. The availability of
data for the first half of the 20th century is very poor for Arunachal Pradesh. Data series
could be prepared for most of the districts of this state from the year 1965-66 with only
exception for Changlang district and East Siang district. Andhra Pradesh is categorized
as the best state where district series can be prepared for all the years from 1901 to
2005-06 except 3 years missing for the district Adilabad, 4 years missing for the district
Karimnagar, 2 year missing for the district Vizaynagaram and 1 year missing for the
district Medak. Year-wise number of stations for which data were used to compute the
district values are also made (not shown). District series can be prepared up to the year
2009 for the two states viz. Uttar Pradesh and Kerala. Other states having good data
availability are Goa, Tamilnadu and Rajasthan.
Table 2 shows the year wise number of district used for each of the 36
meteorological subdivisions while Table 3 displays the number of stations used for each
year to get the subdivision values. Fig.1 shows the location. Number and name of the
36 subdivisions. For the subdivision Rayalseema, rainfall data series is made available
for all the four districts for all the year from 1901 to 2006 without any missing year.
Similarly for coastal Karnataka, all the three districts data are made available from 1901
to 2003 and for Madhya Maharashtra all the 10 districts data are made available from
1901-2004. The availability of district data is reasonably good for all the meteorological
subdivisions also up to the year 2004-2005.
4
Figures 2 and 3 represent the number of stations and districts for the country
as a whole for which the data can be made available against the individual year starting
from 1901 to 2009. There is significant decrease in the number of stations and also
number of districts after 2003-04. Number of stations has declined from 4325 in 2003 to
3426 in the year 2004 and it decreased to 2123 in 2005. As a result the number of
districts for which monthly rainfall values has been computed from 535 in 2003 to 515 in
the year 2004 and 440 in 2005. The values are very poor in the subsequent years.
There are many reasons for poor data availability in the recent years. One
reason is the delay in receipt of rainfall data from the state authorities. However as
mentioned earlier rainfall data of around 2500 raingauges stations including state
raingauges are being received separately in near real time and monthly values of
districts and subdivisions are available in the archive. These monthly values for the
districts, sub-divisions and country as a whole can be considered for the recent 5-6
years as a near real time data and can be replaced their after once data from all the
state raingauge stations received in delayed mode.
3.2. Comparison of the new rainfall series with the existing rainfall series of IMD
As mentioned earlier, there is no uniform methodology used for computation of
the existing subdivision and all India monthly rainfall series of IMD. Prior to the year
2002, for computation of monthly rainfall of particular subdivision, simple arithmetic
mean of all stations available at the time of computation was used. Also from 1992 to
2010, computation was made on near real time basis and thus less number of stations
(around 2000-2500) is used. Also there is no long series of district monthly rainfall
series available. Only available district rainfall series in IMD is from 1992 which also
has been computed using near real time data and thus having less number of stations.
Present series gives monthly rainfall series of on an average 544 districts/year
are computed based on an average 3116 number of stations/year of the country. For
computation of subdivision values, district area weighted method is used over the
complete period (1901-2009).
Table 4 presents the comparative descriptive statistics between the new series
and existing series of all India rainfall based on the data period 1901-2005. The reason
for selecting this period is that from 2006 onward the data availability is very poor and it
5
will not be practical to compare in this period. This will help in providing the information
on the statistics of the existing rainfall series as well as the new rainfall series and also
how the new series is varying with the existing one. Second and third columns of Table
4 give the mean rainfall for the IMD series and the new series for all the months,
seasons and annual. The differences between the two series are very less. We have
also performed two well known statistical test viz. student’s t test and z test to see if
there is any difference between the means.
The null hypothesis in this case is
H0: The difference between the means is equal to 0.
Against the alternative hypothesis
Ha: The difference between the means is different from 0.
As the computed p-value is greater than the significance level alpha=0.05, one
cannot reject the null hypothesis H0.
This is done separately for all the months, seasons and annual and the result of
the test is same for all.
There is hardly any difference in median values but there exists some
differences in the mode values for some months and seasons. Mode is the value that
occurs most frequently in a data set. The differences are noticed for the month of April-
August, November and December and for the seasons Jan-Feb and Oct-Dec. This is
because of that the new series is based on more number of stations than the existing
series and also there is difference in the methodology of computation. The last four
columns of Table 4 are very important as they show whether the new series has caused
shifting in extreme values and corresponding year of the all India rainfall from the
existing one. Highest and lowest monthly rainfall values during the period 1901-2005
and the corresponding year of occurrence are shown. Except for the month of
December and the winter season (Jan-Feb) there is no change in the year of
occurrences of maximum values. Maximum southwest monsoon rainfall of 1122.8 mm
present in the existing series in the year 1917 has changed to 1084.3mm in 1917 in the
new series. Compare to maximum rainfall there are more changes in the year of
occurrence of minimum rainfall. This change is noticed for the month of January, April,
August and December and for annual. This table brings another important feature.
Though mean monthly rainfall is highest for the month of July and lowest for the month
6
of December, maximum monthly rainfall value is highest in July but lowest in February,
the second lowest is January. The lowest value in minimum monthly rainfall is for
December and highest value in minimum monthly rainfall is August not the July month.
4. Conclusions For the first time long rainfall series for districts of the country from the year
1901 are made available. There are great demands from the users and particularly state
authorities to have long series of district rainfall data for their regions. Also a better and
uniform methodology is used for the computation of the new rainfall series. The
limitation of the new series is the low number of stations used for the computation of
rainfall for the recent years. The series uses the rainfall data of all the raingauge
stations of the country that received in delayed mode. Thus there is a data gap for 4-5
years in the archive. However the rainfall values used by IMD for districts, subdivisions
and all India based on near real time data under District Rainfall Monitoring Scheme
(DRMS) using around 2500 stations are available on near time basis.
Acknowledgments
The authors express their sincere thanks to AVM Dr. Ajit Tyagi, Director
General of Meteorology, India Meteorological Department for his guidance,
encouragement and support in carrying out this research work. Also we acknowledge
the support and guidance of ADGM(R). The work could not be possible without the full
team of Hydrology unit, who have continuously updated the information regarding every
stations, district location etc.
References
1. Blanford H. 1886–88. Indian Meteorological Memoirs, Vol III.
2. Guhathakurta, P. and M. Rajeevan, 2006. NCC Research Report No. 2/2006.
7
S.N
.D
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ICT
AV
AIL
ABI
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MIS
SIN
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S.N
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ICT
AV
AIL
ABI
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MIS
SIN
G Y
EARS
1A
NJA
W19
76‐2
006
1A
DIL
ABA
D19
01‐2
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1923
‐192
52
CHA
NG
LAN
G19
29‐2
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1952
‐ 19
65, 1
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197
0 ‐ 1
978
2A
NA
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1901
‐200
63
DIB
AN
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ALL
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69‐1
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1970
‐ 19
753
CHIT
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1901
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64
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G19
66‐2
005
1967
, 197
0 ‐ 1
975
4CU
DD
APA
H19
01‐2
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5EA
ST S
IAN
G19
16‐2
005
1952
‐ 19
56, 1
988,
198
95
EAST
GO
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1901
‐200
66
KURU
NG
KU
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1966
‐198
619
67, 1
970 ‐ 1
977,
197
9, 1
980
6W
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1901
‐200
67
LOH
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1954
‐ 19
707
GU
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8LO
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DIB
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ALL
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69‐1
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1970
‐ 19
758
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BAD
1901
‐200
69
LOW
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UBA
NSI
RI19
65‐1
980
1978
9KA
RIM
NA
GA
R19
01‐2
006
1912
‐ 19
1510
PAPU
M P
ARE
1966
‐200
619
67, 1
970 ‐ 1
977,
197
9, 1
980,
198
2, 1
998
10KH
AM
MA
M19
01‐2
006
11TA
WA
NG
1971
‐197
211
KRIS
HN
A19
01‐2
006
12TI
RAP
1966
‐200
419
67, 1
970,
198
9, 1
991 ‐ 1
996
12KU
RNO
OL
1901
‐200
613
UPP
ER S
IAN
G19
66‐1
997
1967
, 197
0, 1
975
13M
AH
BUBN
AG
AR
1901
‐200
614
UPP
ER S
UBA
NSI
RI19
66‐2
006
1967
, 197
0, 1
988 ‐ 1
992
14M
EDA
K19
01‐2
006
1967
15W
EST
KAM
ENG
1965
‐200
615
NA
LGO
ND
A19
01‐2
006
16W
EST
SIA
NG
1966
‐198
619
67, 1
970
16N
ELLO
RE19
01‐2
006
17N
IZA
MA
BAD
1901
‐200
61
CACH
AR
1901
‐200
618
PRA
KASA
M19
01‐2
006
2D
ARR
AN
G19
01‐2
005
1988
, 198
9, 1
990
19SR
IKA
KULA
M19
01‐2
006
3G
OA
LPA
RA19
01‐2
006
20VI
SAKH
APA
TNA
M19
01‐2
006
4KA
MRU
P19
01‐2
006
1958
, 196
0 ‐ 1
965,
196
8 ‐1
973
21W
ARA
NG
AL
1901
‐200
65
LAKH
IMPU
R19
01‐2
006
22RA
NG
ARE
DD
Y19
01‐2
005
6N
.C. H
ILLS
1901
‐200
619
86 ‐1
990
23VI
ZIA
NA
GA
RAM
1901
‐200
519
85, 1
986
7N
OW
GO
NG
1901
‐200
68
SIBS
AG
AR
1901
‐200
619
70, 1
988 ‐1
990
1BA
STA
R19
10‐2
006
9BA
RPET
A19
01‐2
006
1953
, 195
5, 1
958,
196
0 19
61 ‐1
965,
196
9 ‐1
972,
197
4, 1
975
2BI
LASP
UR
1901
‐200
610
DH
UBR
I19
01‐2
005
1970
3D
AN
TEW
ARA
1939
‐199
919
60 ,1
969 ‐1
971
11D
IBRU
GA
RH19
01‐2
006
1970
4D
HA
MTA
RI19
01‐1
999
1970
, 197
1, 1
981,
198
212
JORH
AT
1901
‐200
65
DU
RG19
01‐2
006
2001
‐ 20
0413
KARB
I AN
GLO
NG
1953
‐200
619
54, 1
958,
196
0 ‐ 1
972,
197
46
JAN
JGIR
1902
‐200
620
00 ‐2
004
14KA
RIM
GA
NJ
1901
‐200
219
58, 1
960 ‐1
965,
196
7 ‐1
968
1971
,197
3, 1
974,
198
0, 1
986,
198
8, 1
989,
199
07
JASH
PURN
AG
AR
1901
‐200
620
0015
KOKR
AJH
AR
1901
‐200
619
51, 1
958,
196
0 ‐1
965,
196
9, 1
970,
197
2 ‐ 1
980
8KA
NKE
R19
27‐2
003
16SO
NIT
PUR
1901
‐200
619
15, 1
917,
194
49
KORB
A19
01‐1
999
1971
17N
ALB
ARI
1903
‐200
619
57 ‐1
971
10KO
REA
1913
‐199
919
59, 1
969 ‐ 1
972,
1983
18BO
NG
AIG
AO
N19
78‐2
006
2003
‐ 20
0511
KOW
ARD
HA
1902
‐199
919
60,1
964‐
1967
,197
0,19
8419
MO
RIG
AO
N19
76‐2
006
12M
AH
ASA
MU
ND
1902
‐199
919
69 ‐
1972
198
1, 1
982
20G
OLA
GH
AT
1901
‐200
619
63 ,1
971,
197
3 ‐ 1
975
13RA
IGA
RH19
01‐2
006
21TI
NSU
KIA
1901
‐200
619
53, 1
962,
196
3, 1
976
14RA
IPU
R19
01‐2
006
22D
HEM
AJI
1979
‐200
219
88 ‐
1990
15RA
JNA
ND
GA
ON
1902
‐200
420
0323
HA
ILA
KAN
DI
1901
‐200
619
58, 1
960 ‐ 1
970,
1972
‐ 19
78, 1
980,
198
116
SURG
UJA
1901
‐200
624
UD
ALG
URI
1901
‐200
419
60, 1
983,
200
317
BIJA
PUR
1939
‐199
919
60, 1
961,
196
9 ‐ 1
971
25BA
KSA
1901
‐200
619
70, 1
971,
197
3, 1
977
18N
ARA
YAN
PUR
1939
‐200
019
61, 1
969,
197
0, 1
971
26CH
IRA
NG
1981
‐200
619
88 ‐
1990
, 199
427
KAM
RUP
MET
ROPO
LITA
N19
02‐2
005
1910
, 194
2, 1
945,
198
2, 1
984
And
hra
Prad
esh
Chha
tisg
arh
Aru
nach
al P
rade
sh
Ass
am
Tabl
e 1.
Ava
ilabi
lity
of d
ata
of th
e di
stric
ts a
nd a
lso
mis
sing
yea
rs fo
r diff
eren
t st
ates
(Con
td.)
8
S.N
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ICT
AV
AIL
ABI
LITY
MIS
SIN
G Y
EARS
S.N
.D
ISTR
ICT
AV
AIL
ABI
LITY
MIS
SIN
G Y
EARS
1A
RARI
A19
01 ‐
2006
1N
ORT
H G
OA
1901
‐200
62
ARW
AL
1901
‐ 20
0619
71,1
973,
1977
‐198
5,19
87‐1
988,
1990
2SO
UTH
GO
A19
01‐2
006
3A
URA
NG
ABA
D19
01 ‐
2006
1971
‐197
34
BAN
KA19
01 ‐
2006
1971
‐197
3,19
82‐1
985
1A
HM
EDA
BAD
1901
‐200
65
BEG
USA
RAI
1901
‐ 20
0619
52,1
971‐
1973
2A
MRE
LI19
01‐2
006
6BH
ABU
A19
01 ‐
2006
1971
3BA
NA
SKA
NTH
A19
01‐2
006
7BH
AG
ALP
UR
1901
‐ 20
064
BARO
DA
1901
‐200
619
208
BHO
JPU
R19
01 ‐
2006
1990
5BH
AU
NA
GA
R19
01‐2
006
9BU
XAR
1901
‐ 20
0619
24,1
952,
1971
‐197
36
BRO
ACH
1901
‐200
520
0010
CHA
MPA
RAN
.EA
ST19
01 ‐
2006
7BU
LSA
R/VA
LSO
D19
01‐2
006
11CH
AM
PARA
N.W
EST
1901
‐ 20
0619
71‐1
973
8D
AN
GS
1903
‐200
319
91, 1
999,
200
012
DA
RBH
AN
GA
1901
‐ 20
069
JAM
NA
GA
R19
01‐2
006
13G
AYA
1901
‐ 20
0610
JUN
AG
AD
H19
01‐2
006
14G
OPA
LGA
NJ
1901
‐ 20
0619
71, 1
973
11KA
IRA
/KH
EDA
1901
‐200
520
0015
JAH
AN
ABA
D19
01 ‐
2006
1951
, 195
3, 1
971‐
1973
, 197
7‐19
78, 1
982‐
1985
,198
7‐19
88,1
990
12KU
TCH
1901
‐200
616
JAM
UI
1901
‐ 20
0619
71‐1
972
13M
EHSA
NA
1927
‐200
519
91, 2
000
17KA
TIH
AR
1901
‐ 20
0619
71‐1
973
14PA
NCH
‐MA
HA
LS19
01‐2
005
1991
, 200
018
KHA
GA
RIA
1901
‐ 20
0619
24,1
927‐
1928
, 196
0,19
71‐1
973
15RA
JKO
T19
01‐2
006
19KI
SHA
NG
AN
J19
01 ‐
2006
1971
‐197
316
SABA
RKA
NTH
A19
01‐2
006
20LA
KHIS
ARO
Y19
64 ‐
2006
1971
‐197
3, 1
981‐
1986
, 198
817
SURA
T19
01‐2
006
21M
AD
HEP
URA
1901
‐ 20
0619
35‐1
945,
1952
,195
9‐19
60, 1
971,
1973
18SU
REN
DRA
NA
GA
R19
01‐2
003
1999
, 200
022
MA
DH
UBA
NI
1901
‐ 20
0619
71‐1
973
19G
AN
DH
INA
GA
R19
74‐2
003
1979
‐ 199
0, 1
998‐
200
023
MU
NG
ER19
01 ‐
2006
1971
‐197
320
AN
AN
D19
01 ‐2
006
24M
UZA
FFA
RPU
R19
01 ‐
2006
21D
OH
AD
1901
‐200
325
NA
LAN
DA
1901
‐ 20
0619
71, 1
973
22N
ARM
AD
A19
01‐2
003
1997
, 199
9, 2
000
26N
AW
AD
AH
1901
‐ 20
0619
71‐1
973
23N
AVS
ARI
1901
‐200
319
91, 1
999,
200
027
PATN
A19
01 ‐
2006
24PA
TAN
1901
‐200
319
91, 1
998 ‐2
000
28PU
RNEA
1901
‐ 20
0625
PORB
AN
DA
R19
01 ‐2
006
29RO
HTA
S19
01 ‐
2006
26TA
PI19
01‐2
003
1969
, 199
1, 1
999,
200
030
SAH
ARS
A19
01 ‐
2006
1971
‐197
331
SAM
AST
IPU
R19
01 ‐
2006
1971
‐197
31
BILA
SPU
R19
54‐2
003
32SA
RAN
1901
‐ 20
062
CHA
MBA
1921
‐200
319
33 ‐
1943
, 194
933
SHEI
KHPU
RA19
01 ‐
2006
1960
, 197
1‐19
733
KAN
GRA
1901
‐200
534
SHIB
HA
R19
76 ‐
2006
1977
‐197
94
KIN
NA
UR
1901
‐200
519
5035
SITA
MA
RHI
1901
‐ 20
0619
63, 1
971‐
1973
5KU
LU19
01‐2
005
1963
36SI
WA
N19
01 ‐
2006
1971
‐197
36
LAH
UL
AN
D S
PITI
1903
‐200
519
11 ‐
1932
, 194
5 ‐ 1
949
37SU
PAU
L19
01 ‐
2006
1958
7M
AN
DI
1951
‐200
538
VAIS
HA
LI19
01 ‐
2006
1971
‐197
3, 2
003
8H
AM
IRPU
R19
01‐2
003
1966
, 196
9, 1
978
9SI
MLA
1901
‐200
51
NEW
DEL
HI
1901
‐200
519
8010
SIRM
UR
1951
‐200
52
CEN
TRA
L D
ELH
I19
41‐2
005
1951
11SO
LAN
1901
‐200
53
NO
RTH
DEL
HI
1999
‐200
520
0012
UN
A19
01‐2
005
1953
, 196
0, 1
963,
196
64
NO
RTH
WES
T D
ELH
I19
41‐2
001
1957
, 196
6 ‐ 1
970,
197
2, 1
974,
197
5, 1
989,
199
0, 1
999,
200
05
SOU
TH D
ELH
I20
04‐2
005
1N
ORT
H T
RIPU
RA19
38‐2
004
1954
6SO
UTH
WES
T D
ELH
I19
64‐2
005
1969
‐ 19
982
DH
ALA
I19
56‐2
004
1984
7W
EST
DEL
HI
1959
‐200
53
WES
T TR
IPU
RA19
01‐2
005
4SO
UTH
TRI
PURA
1938
‐200
419
54, 1
984
Del
hi
Biha
r
Trip
ura
Him
acha
l Pra
desh
Goa
Guj
arat
Tabl
e 1.
Ava
ilabi
lity
of d
ata
of th
e di
stric
ts a
nd a
lso
mis
sing
yea
rs fo
r diff
eren
t sta
tes
(Con
td.)
9
S.N
.D
ISTR
ICT
AV
AIL
ABI
LITY
MIS
SIN
G Y
EARS
S.N
.D
ISTR
ICT
AV
AIL
ABI
LITY
MIS
SIN
G Y
EARS
1A
MBA
LA19
01‐2
005
1BO
KARO
1901
‐200
519
332
BHIW
AN
I19
01‐2
005
1966
, 196
7, 1
985,
198
6, 1
987,
198
92
CHA
TRA
1901
‐200
419
71 ‐
1973
3FA
RID
ABA
D19
01‐2
005
1966
, 196
73
DEO
GH
AR
1901
‐200
619
904
FATE
HA
BAD
1901
‐200
519
66, 1
967
4D
HA
NBA
D19
01‐2
004
5G
URG
AO
N19
01‐2
005
5D
UM
KA19
01‐2
006
6H
ISSA
R19
01‐2
005
6G
ARH
WA
1902
‐200
419
71 ‐
1974
, 197
7 ‐1
988
7JH
AJJ
AR
1901
‐200
519
66, 1
967
7G
IRID
IH19
05‐2
006
8JIN
D19
01‐2
005
1950
‐ 195
3, 1
961
1966
‐197
08
GO
DD
A19
01‐2
004
1971
‐ 19
739
KAIT
HA
L19
01‐2
005
1966
, 196
7, 1
987‐
198
9 9
GU
MLA
1901
‐200
419
71 ‐
1973
10KA
RNA
L19
01‐2
005
1910
10H
AZA
RIBA
GH
1901
‐200
511
KURU
KSH
TRA
1901
‐200
519
66, 1
967,
198
5, 1
986,
198
7, 1
988,
198
911
JAM
TARA
1901
‐200
419
8712
MA
HEN
DRA
GA
RH19
54‐2
005
1901
‐ 195
3, 1
966
12KH
UN
TI19
06‐2
004
1971
‐197
413
MEW
AT
1901
‐200
519
66, 1
967
13KO
DA
RMA
1903
‐200
419
81 ‐
1985
, 198
8, 1
990
14PA
LWA
L19
01‐2
005
1966
, 196
7,19
85‐1
989
14LA
TEH
AR
1902
‐200
515
PAN
CHKU
LA19
51‐2
005
1901
‐ 195
0, 1
963,
196
6, 1
967,
197
015
LOH
ARD
AG
A19
01‐2
004
1971
‐ 19
7416
PAN
IPA
T19
01‐2
005
1966
, 196
716
PAKU
R19
01‐2
004
1971
‐ 19
73 ,1
977,
197
817
REW
ARI
1901
‐200
519
66, 1
967,
198
917
PALA
MA
U19
01‐2
006
18RO
HTA
K19
01‐2
005
1966
18RA
MG
ARH
1901
‐200
419
07, 1
959,
197
1 ‐ 1
973
19SI
RSA
1901
‐200
519
52, 1
966,
196
719
RAN
CHI
1901
‐200
620
SON
EPA
T19
01‐2
005
1966
, 196
7 19
85‐ 1
989
20SA
HEB
GA
NJ
1901
‐200
419
71 ‐
1973
21YA
MU
NA
NA
GA
R19
01‐2
005
1962
, 196
4 ,1
966‐
197
021
SERA
IKEL
A19
01‐2
004
1971
‐ 19
7422
SIM
DEG
A19
01‐2
004
1971
‐ 19
741
AN
AN
TNA
G S
OU
TH19
01‐2
004
1957
23SI
NG
BHU
M E
AST
1901
‐200
62
NO
RTH
BA
RAM
ULL
A19
01‐2
004
24SI
NG
BHU
M W
EST
1901
‐200
63
DO
DA
1911
‐200
4 1
951 ‐ 1
959
4JA
MM
U19
01‐2
004
1A
LAPU
ZHA
1901
‐200
920
065
KATH
UA
1901
‐200
419
57, 1
963 ‐ 1
965,
197
0 ‐ 1
978,
198
0 ‐ 1
995
2CA
NN
UR
1901
‐200
920
066
LAD
AKH
1901
‐200
419
85 ‐
1989
, 199
1 ‐ 1
997
3ER
NA
KULA
M19
01‐2
009
2006
7PO
ON
CH19
01‐2
002
1956
‐ 19
60, 1
963 ‐ 1
965,
197
0 ‐ 1
980,
198
3, 1
984,
198
7, 1
988,
199
0, 1
991
4KO
TTA
YAM
1901
‐200
920
068
REA
SI19
01‐1
993
1957
, 196
3, 1
966,
197
0 ‐ 1
983,
198
6 ‐ 1
992
5KO
ZHIK
OD
E19
01‐2
009
2006
9U
DH
AM
PUR
1901
‐200
419
57, 1
963 ‐1
965,
197
4 6
MA
LAPU
RAM
1901
‐200
919
87, 1
988,
200
5, 2
006
10KU
LGA
M19
62‐2
004
7PA
LAKK
AD
1901
‐200
920
0611
BAD
GA
M19
01‐2
003
1948
‐ 19
58, 1
984 ‐1
989,
199
5 ‐ 1
998
8KO
LLA
M19
01‐2
009
2006
12KU
PWA
RA19
16‐2
004
1957
, 198
9, 1
991
9TH
RISS
UR
1901
‐200
920
05, 2
006
13PU
LWA
MA
1901
‐200
419
49 ‐
1951
, 195
7, 1
983 ‐ 1
993,
199
510
THIR
UVA
NA
NTH
APU
RAM
1901
‐200
920
0614
SRIN
AG
AR
1901
‐200
411
IDU
KKI
1901
‐200
920
05, 2
006
15RA
MBA
N19
01‐1
985
1957
, 195
8, 1
959,
196
1, 1
963,
196
4 ,1
965,
197
0 ,1
971,
197
3, 1
976 ‐ 1
983
12KA
SARG
OD
1901
‐200
919
87, 2
005,
200
616
SHO
PIA
N19
60‐1
996
1968
, 198
6 ‐ 1
992
13PA
THA
NA
MTH
ITTA
1901
‐200
919
87, 2
005,
200
617
KIST
WA
R19
01‐1
962
1952
‐ 19
60
14W
YN
AD
1901
‐200
919
87, 2
005,
200
618
KARG
IL19
08‐2
001
1945
‐ 19
54, 1
959 ‐ 1
965,
196
7 ‐ 1
974,
197
6 ‐ 1
997,
200
019
SAM
BA19
01‐1
969
1957
, 196
3, 1
964,
196
51
EAST
GA
RO H
ILLS
1976
‐198
620
BAN
DIP
ORE
1962
‐199
419
83 ‐
1992
2W
EST
GA
RO H
ILLS
1901
‐199
73
EAST
KH
ASI
HIL
LS19
01‐2
005
4W
EST
KHA
SI H
ILLS
1983
‐199
75
JAIN
TIA
HIL
LS19
01‐2
005
1958
,196
0‐19
66,1
969‐
1982
6RI
BH
OI
1960
‐200
619
62‐1
974,
1978
,198
1‐19
84
Har
yana
Jhar
khan
d
Jam
mu
& K
ashm
ir
Meg
hala
ya
Kera
la
Tabl
e 1.
Ava
ilabi
lity
of d
ata
of th
e di
stric
ts a
nd a
lso
mis
sing
yea
rs fo
r diff
eren
t st
ates
(Con
td.)
10
S.
N.
DIS
TRIC
TA
VA
ILA
BILI
TYM
ISSI
NG
YEA
RSS.
N.
DIS
TRIC
TA
VA
ILA
BILI
TYM
ISSI
NG
YEA
RS
1A
HM
EDN
AG
AR
1901
‐200
41
BAG
ALK
OTE
1901
‐200
52
AKO
LA19
01‐2
006
2BA
NG
ALO
RE R
URA
L19
01‐2
002
1999
3A
MRA
OTI
1901
‐200
63
BAN
GA
LORE
URB
AN
1901
‐200
54
AU
RAN
GA
BAD
1901
‐200
64
BELG
AU
M19
01‐2
005
5BH
AN
DA
RA19
01‐2
005
1964
, 196
55
BELL
ARY
1901
‐200
56
BEED
1901
‐200
419
416
BID
AR
1902
‐200
519
10, 1
919 ‐ 1
922,
192
87
BOM
BAY
CITY
1901
‐200
619
227
BIJA
PUR
1901
‐200
48
BULD
HA
NA
1901
‐200
68
CHA
MA
RAJN
AG
AR
1901
‐200
319
979
CHA
ND
RAPU
R19
01‐2
006
9CH
ICKM
AG
ALU
R19
01‐2
005
10D
HU
LIA
1901
‐200
510
CHIT
RAD
URG
A19
01‐2
005
11JA
LGA
ON
1901
‐200
611
DA
VAN
AG
ERE
1901
‐200
312
RAIG
ARH
1901
‐200
612
DH
ARW
AR
1901
‐200
313
KOLH
APU
R19
01‐2
006
13G
AD
AG
1901
‐200
514
NA
GPU
R19
01‐2
006
14G
ULB
ARG
A19
01‐2
005
15N
AN
DED
1901
‐200
615
HA
SSA
N19
01‐2
005
16N
ASI
K19
01‐2
006
16H
AVE
RI19
01‐2
003
17O
SMA
NA
BAD
1901
‐200
620
0517
KAN
ARA
NO
RTH
1901
‐200
518
PARB
HA
NI
1913
‐200
618
KAN
ARA
SO
UTH
1901
‐200
519
PUN
E19
01‐2
006
19KO
DA
GU
1901
‐200
520
RATN
AG
IRI
1901
‐200
620
KOLA
R19
01‐2
003
21SA
NG
LI19
01‐2
006
21KO
PPA
L19
52‐2
003
22SA
TARA
1901
‐200
622
MA
ND
YA19
01‐2
005
23SH
OLA
PUR
1901
‐200
623
MYS
ORE
1901
‐200
524
THA
NE
1901
‐200
624
RAIC
HU
R19
01‐2
005
25YE
OTM
AL
1901
‐200
625
SHIM
OG
A19
01‐2
005
26W
ARD
HA
1901
‐200
620
0526
TUM
KUR
1901
‐200
327
LATU
R19
51‐2
006
1952
, 196
727
UD
UPI
1901
‐200
328
GA
DCH
IRO
LI19
01‐2
004
28RA
MN
AG
ARA
1901
‐200
219
9929
JALN
A19
51‐2
004
29CH
ICKB
ALL
APU
R19
01‐2
003
1982
30SI
ND
HU
DU
RG19
01‐2
006
30YA
DG
IR19
31‐2
003
1939
, 198
231
NA
ND
URB
AR
1901
‐200
432
GO
ND
IA19
01‐2
006
1M
OKO
KCH
UN
G19
01‐1
975
1958
‐ 19
68, 1
970
33H
ING
OLI
1931
‐200
419
892
TUEN
SAN
G19
66‐1
981
1969
, 197
8 ‐ 1
980
34W
ASH
IM19
01‐2
006
2005
3KO
HIM
A19
48‐2
005
1949
,195
1,19
67‐1
969,
1976
,197
835
BOM
BAY
SUBU
RBA
N19
01‐1
989
1916
, 195
2, 1
953,
196
7, 1
976
4D
IMA
PUR
1901
‐198
619
58 ‐
1978
5KI
PHIR
A19
98‐2
004
1BI
SHN
UPU
R19
57‐1
977
1958
, 196
46
MO
N19
28‐2
004
1958
‐197
5,19
84,1
987‐
1992
2CH
AN
DEL
1959
‐197
919
647
PHEK
1995
‐200
43
CHU
RACH
AN
DPU
R19
59‐2
003
1964
, 197
9, 1
985 ‐ 1
989
8PE
REN
1930
‐200
419
50,1
951,
1957
‐199
4,20
004
IMPH
AL
EAST
1901
‐200
59
WO
KHA
1901
‐200
419
53, 1
958 ‐ 1
996
5IM
PHA
L W
EST
1957
‐197
719
58, 1
964,
197
610
ZUN
HEB
OTO
2002
‐200
26
SEN
APA
TI19
28‐2
005
1944
‐ 19
51, 1
954 ‐1
958,
197
8 ‐ 1
989,
199
27
TAM
ENLO
NG
1922
‐197
619
56, 1
958,
196
4, 1
965,
196
8, 1
972,
197
31
NO
RTH
SIK
KIM
1971
‐200
719
82, 1
985,
198
68
THO
UBA
L19
59‐1
977
2W
EST
SIKK
IM19
71‐2
004
1982
‐198
4,19
86,1
988‐
1990
9U
KHRU
L19
22‐1
977
1945
‐ 19
58, 1
964
3EA
ST S
IKKI
M19
71‐2
007
1982
, 198
3, 1
985,
198
64
SOU
TH S
IKKI
M19
71‐2
007
1981
‐ 19
89
Man
ipur
Nag
alan
d
Mah
aras
htra
Karn
atak
a
Sikk
im
Tabl
e 1.
Ava
ilabi
lity
of d
ata
of th
e di
stric
ts a
nd a
lso
mis
sing
yea
rs fo
r diff
eren
t st
ates
(Con
td.)
11
S.
N.
DIS
TRIC
TA
VA
ILA
BILI
TYM
ISSI
NG
YEA
RSS.
N.
DIS
TRIC
TA
VA
ILA
BILI
TYM
ISSI
NG
YEA
RS
1A
IZW
AL
1901
‐200
519
66, 1
967,
196
8, 1
970 ‐ 1
984
1A
MRI
TSAR
1901
‐200
52
CHA
MPH
AI
1901
‐200
519
53, 1
958,
196
0 ‐ 1
985
2BA
RNA
LA19
53‐2
005
1971
3KO
LASI
B19
09‐2
005
1955
, 195
8, 1
960 ‐ 1
965,
196
7 ‐ 1
985
3BH
ATIN
DA
1901
‐200
519
50, 1
951,
195
34
LAW
NG
TLI
1986
‐200
54
FATE
HG
ARH
SA
HIB
1954
‐200
519
715
LUN
GLE
I19
01‐2
005
1958
, 196
0 ‐1
965,
196
7, 1
969 ‐1
978,
198
0 ‐ 1
983
5FE
ROZE
PORE
1901
‐200
26
MAM
IT19
99‐2
005
6G
URD
ASPU
R19
01‐2
005
7SA
IHA
1986
‐200
57
HO
SHIA
RPU
R19
01‐2
002
1971
, 197
28
SERC
HH
IP19
82‐2
005
8JU
LLU
ND
AR
1901
‐200
29
KAPU
RTH
ALA
1954
‐200
219
711
AN
GU
L19
01‐2
006
10LU
DH
IAN
A19
01‐2
005
2BO
LAN
GIR
1902
‐200
611
MA
NSA
1954
‐200
219
71‐1
972
3BA
LASO
RE19
01‐2
006
1972
12M
OG
A19
01‐2
002
1971
,198
4‐19
874
BARG
ARH
1906
‐200
319
01‐ 1
905,
198
013
MU
KTES
AR
1901
‐200
219
71,1
984‐
1987
5BH
ADRA
K19
01‐2
006
14N
AW
AN
SHA
HR
1901
‐200
219
51, 1
971
6BO
UD
H19
01‐1
997
1951
, 195
3, 1
959 ‐1
963,
196
5,19
66, 1
968,
1969
,197
1,19
72,1
980,
1993
‐ 19
9615
PATI
ALA
1901
‐200
57
CUTT
ACK
1901
‐200
616
ROO
PNA
GA
R19
01‐2
002
1966
, 196
7, 1
970‐
1972
8D
EOG
ARH
1906
‐200
4 1
951,
1953
,195
4,19
56,1
959‐
196
3,19
65,1
966,
1968
,196
9,19
72,1
980,
1982
‐199
017
SAN
GRU
R19
01‐2
002
1950
, 195
1, 1
953,
1971
9D
HEN
KAN
AL19
01‐2
004
1951
, 195
3 ,1
959 ‐1
966,
196
9, 1
972,
199
318
SAS
NA
GA
R19
01‐2
002
1966
‐196
7,19
71‐1
972
10G
AJA
PATI
1901
‐200
419
51, 1
953,
195
9 ‐ 1
966,
196
9, 1
972,
198
319
FARI
DKO
T19
01‐2
002
1971
11G
AN
JAM
1901
‐200
620
TARN
TA
RAN
1901
‐200
219
71, 1
972
12JA
GA
TSIN
GPU
R19
01‐2
006
1951
, 195
3, 1
959 ‐ 1
963
13JA
JPU
R19
01‐2
005
1951
, 195
3, 1
959 ‐1
963,
196
5 ,1
966,
196
8, 1
969,
197
21
DAD
RA &
N.H
AVEL
I19
61‐1
995
1962
,196
3,19
68,1
984‐
1990
14JH
ARSU
GU
DA
1919
‐200
62
DA
MA
N19
77‐1
992
1980
, 198
6 ‐ 1
991
15KA
LAH
AN
DI
1902
‐200
519
14, 1
950 ‐ 1
954,
195
9 ‐1
966
3D
IU19
28‐2
001
1962
, 198
1, 1
987 ‐ 1
989
16KE
ND
RAPA
DA
1901
‐199
719
51,1
953,
1956
,195
7,19
59‐1
963,
1965
,196
6,19
68,1
969,
1972
,197
7,19
80,1
981,
1993
‐199
64
PUD
UCH
ERRY
1968
‐200
619
89, 1
992
17KE
ON
JHAR
1901
‐200
619
51, 1
953
5CH
AND
IGAR
H19
54‐1
990
18KH
URD
A19
01‐2
006
6KA
RAIK
AL
1970
‐200
619
71 ‐
1974
, 197
7, 1
992
19KO
RAPU
T19
01‐2
006
1963
, 199
9, 2
000,
200
120
MA
LKA
NG
IRI
1901
‐199
819
51, 1
953,
195
4, 1
959 ‐1
963,
196
5 ‐1
969,
197
2, 1
980,
198
121
MAY
URB
HA
NJ
1901
‐200
619
51, 1
953,
196
91
ALM
ORA
1901
‐200
019
83, 1
984,
199
3 ‐ 1
995
22N
OW
RAN
GA
PUR
1901
‐200
519
51, 1
953,
195
9 ‐1
966,
196
8, 1
969,
197
2, 1
977 ‐ 1
981
2CH
AMO
LI19
01‐2
006
23N
AYA
GA
RH19
01‐1
998
1951
, 195
3, 1
959 ‐1
966,
196
8 ‐1
970,
197
2 ,1
976,
1977
, 197
9, 1
980,
199
53
CHAM
PAW
AT
1901
‐200
519
62, 1
967
24N
AW
APA
RA19
11‐2
004
1951
4D
EHRA
DU
N19
01‐2
006
25KA
ND
HA
MA
L19
01‐2
006
1951
, 195
35
HA
RDW
AR
1901
‐200
519
6426
PURI
1901
‐200
619
606
NAI
NIT
AL
1901
‐200
627
RAYA
GA
DA
1901
‐200
419
51, 1
953,
195
9 ‐1
963,
196
5 ,1
966,
196
8, 1
969,
197
2, 1
976,
197
77
PAU
RI G
ARH
WA
L19
01‐2
000
1957
, 198
4, 1
993 ‐ 1
995
28SA
MBA
LPU
R19
01‐2
006
8PI
THO
RGA
RH19
01‐2
006
29SO
NEP
UR
1911
‐200
319
62, 1
980,
198
1, 1
995
9TE
HRI‐G
ARH
WA
L19
55‐2
006
30SU
ND
ARG
ARH
1911
‐200
619
41 ‐1
950
10U
TTA
R‐KA
SHI
1955
‐200
519
61, 1
964
11U
DH
AM
SIN
GH
NA
GA
R19
01‐1
999
1983
, 198
4, 1
993,
199
412
RUD
RAPR
AYA
G19
01‐2
005
1983
, 198
4, 1
993 ‐ 1
995
13BA
GES
WA
R19
90‐2
000
1993
‐ 19
95
Miz
oram
Utt
arak
hand
Uni
on T
erito
ry
Punj
ab
Ori
ssa
Tabl
e 1.
Ava
ilabi
lity
of d
ata
of th
e di
stric
ts a
nd a
lso
mis
sing
yea
rs fo
r diff
eren
t sta
tes
(Con
td.)
12
S.
N.
DIS
TRIC
TA
VA
ILA
BIL
ITY
MIS
SIN
G Y
EAR
SS.
N.
DIS
TRIC
TA
VA
ILA
BIL
ITY
MIS
SIN
G Y
EAR
S
1CH
ENN
AI
1901
‐200
619
03, 1
909,
191
2, 1
917,
192
1, 1
930,
193
6, 1
940,
194
4 ‐1
950
1A
JMER
1901
‐200
62
COIM
BATO
RE19
01‐2
006
2A
LWA
R19
01‐2
000
3CU
DD
ALO
RE19
01‐2
006
3BA
NSW
ARA
1901
‐200
54
DH
ARA
MPU
RI19
01‐2
006
4BA
RMER
1901
‐200
65
DIN
DIG
UL
1901
‐200
65
BHA
RATP
UR
1901
‐200
320
016
ERO
DE
1901
‐200
66
BHIL
WA
RA19
01‐2
005
2004
7KA
NCH
EEPU
RAM
1901
‐200
67
BIKA
NER
1901
‐200
68
KAN
NIY
AKU
MA
RI19
01‐2
006
8BU
ND
I19
01‐2
000
9KA
RUR
1901
‐200
619
659
CHIT
TORG
ARH
1901
‐200
520
01, 2
002
10M
AD
URA
I19
01‐2
006
10CH
URU
1906
‐200
611
NA
GA
PATT
INA
M19
01‐2
006
11D
UN
GA
RPU
R19
01‐2
005
12N
AM
AKK
AL
1901
‐200
112
GA
NG
AN
AG
AR
1906
‐200
613
NIL
GIR
IS19
01‐2
006
13JA
IPU
R19
01‐2
006
14PE
RAM
BALU
R19
01‐2
003
1965
14JA
ISA
LMER
1901
‐200
615
PUD
UKO
TTA
I19
01‐2
006
15JA
LORE
1901
‐200
516
RAM
AN
ATH
APU
RAM
1901
‐200
616
JHA
LAW
AR
1901
‐200
617
SALE
M19
01‐2
006
17JH
UN
JHU
NU
1901
‐200
518
SIV
AG
AN
GA
I19
01‐2
004
18JO
DH
PUR
1901
‐200
619
TAN
JAV
UR
1901
‐200
619
KOTA
H19
01‐2
006
20TH
ENI
1901
‐200
120
NA
GO
UR
1901
‐200
019
5221
THIR
UV
ALL
UR
1901
‐200
521
PALI
1901
‐200
522
THIR
UV
ARU
R19
01‐2
004
2003
22SA
WA
I MA
DH
OPU
R19
01‐2
005
23TI
RUCH
IRA
PALL
I19
01‐2
006
23SI
KAR
1901
‐200
424
TIRU
NEL
VEL
I19
01‐2
006
24SI
ROH
I19
01‐2
005
25TI
RUV
AN
NA
MA
LAI
1901
‐200
425
TON
K19
01‐2
004
26TH
OO
THU
KUD
I19
01‐2
006
26U
DA
IPU
R19
01‐2
006
27V
ELLO
RE19
01‐2
006
27D
HO
LPU
R19
01‐2
005
2001
28V
ILLU
PURA
M19
01‐2
004
28BA
RAN
1901
‐200
029
VIR
UD
HU
NA
GA
R19
01‐2
006
29D
AU
SA19
01‐2
000
1965
, 196
730
KRIS
HN
AG
IRI
1901
‐200
430
RAJA
SMA
ND
1901
‐200
031
ARI
YALU
R19
01‐2
003
1965
31H
AN
UM
AN
GA
RH19
06‐1
995
32TI
RUPU
R19
01‐2
004
32KA
RAU
LI19
01‐1
995
1967
, 196
8
1BA
NKU
RA19
01‐2
006
2BI
RBH
UM
1901
‐200
63
BURD
WA
N19
01‐2
006
1524
PA
RGA
NA
S N
1901
‐200
54
COO
CH B
EHA
R19
01‐2
007
1624
PA
RGA
NA
S S
1901
‐200
55
DA
RJEE
LIN
G19
01‐2
007
17D
INA
JPU
R SO
UTH
1901
‐200
119
496
HO
OG
LY19
01‐2
005
18W
EST
MID
NA
PORE
1901
‐200
57
HO
WRA
H19
01‐2
005
1957
, 195
8, 1
964,
196
7, 1
970
19KO
LKA
TA19
01‐2
005
1911
8JA
LPA
IGU
RI19
01‐2
007
9M
ALD
A19
01‐2
005
1976
10M
AN
BHU
M P
URU
LIA
1901
‐200
211
EAST
MID
NA
PORE
1901
‐200
512
MU
RSH
IDA
BAD
1901
‐200
613
NA
DIA
1901
‐200
619
8914
DIN
AJP
UR
NO
RTH
1901
‐200
419
60,1
970,
1971
,197
9‐19
89,1
995,
1996
Wes
t B
enga
l
Wes
t B
enga
l
Tam
ilnad
uR
ajas
than
Tabl
e 1.
Ava
ilabi
lity
of d
ata
of th
e di
stric
ts a
nd a
lso
mis
sing
yea
rs fo
r diff
eren
t sta
tes
(Con
td.)
13
S.
N.
DIS
TRIC
TA
VA
ILA
BIL
ITY
MIS
SIN
G Y
EAR
SS.
N.
DIS
TRIC
TA
VA
ILA
BIL
ITY
MIS
SIN
G Y
EAR
S
1A
GRA
1901
‐200
92
ALI
GA
RH19
01‐2
009
.3
ALL
AH
ABA
D19
01‐2
009
4A
MBE
DKA
R N
GR
1901
‐200
919
64, 1
968,
198
3, 1
984,
199
,3 1
994,
199
5, 1
999
47M
AU
1901
‐200
919
83, 1
984
5A
URA
IYA
1901
‐200
919
58, 1
983,
198
448
MA
INPU
RI19
01‐2
009
6A
ZAM
GA
RH19
01‐2
009
1983
, 198
449
MA
THU
RA19
01‐2
009
7BA
GH
PAT
1901
‐200
919
61, 1
968,
198
3, 1
984,
199
3, 1
994,
199
550
MA
HA
RAJG
AN
J19
01‐2
009
1983
,198
48
BAH
RAIC
H19
01‐2
009
51M
EERU
T19
01‐2
009
9BA
LLIA
1901
‐200
952
MIR
ZAPU
R19
01‐2
009
10BA
LRA
MPU
R19
01‐2
009
1968
, 198
3, 1
984
53M
ORA
DA
BAD
1901
‐200
911
BAN
DA
1901
‐200
954
MU
ZAFF
ARN
AG
AR
1901
‐200
912
BARA
BA
NKI
1901
‐200
919
6855
PILI
BHIT
1901
‐200
919
68, 1
983,
198
413
BARE
ILLY
1901
‐200
956
PRA
TAPG
ARH
1901
‐200
919
83, 1
984
14BA
STI
1901
‐200
919
83, 1
984
57RA
E BA
RELI
1901
‐200
919
83, 1
984
15BI
JNO
R19
01‐2
009
58RA
MPU
R19
61‐2
009
1983
, 198
416
BUD
AU
N19
01‐2
009
1968
59LU
CKN
OW
1901
‐200
917
BULA
ND
SHA
HR
1901
‐200
960
SHA
HJA
HA
NPU
R19
01‐2
009
1968
18CH
AN
DA
ULI
1901
‐200
919
59, 1
983,
198
4, 1
993,
199
4, 1
995
61SA
HA
RAN
PUR
1901
‐200
919
KAN
SHIR
AM
NA
GA
R 1
901‐
2009
1952
, 195
4, 1
983,
198
462
SID
DH
ART
HN
AG
AR
1901
‐200
920
DEO
RIA
1901
‐200
919
8363
SITA
PUR
1901
‐200
919
64, 1
968
21ET
AH
1901
‐200
919
83, 1
984
64SU
LTA
NPU
R19
01‐2
009
1983
, 198
422
ETA
WA
H19
01‐2
009
1983
, 198
465
SON
BHA
DRA
1901
‐200
919
68, 1
983,
198
423
FAIZ
ABA
D19
01‐2
009
1983
, 198
466
UN
NA
O19
01‐2
009
1968
, 198
3, 1
984
24FA
RRU
KHA
BAD
1901
‐200
919
83, 1
984
67V
ARA
NA
SI19
01‐2
009
25FA
TEH
PUR
1901
‐200
968
KHER
I LA
KHIM
PUR
1901
‐200
926
FIRO
ZABA
D19
01‐2
009
1983
, 198
469
LALI
TPU
R19
01‐2
009
1983
, 198
427
G.B
UD
H N
AG
AR
1990
‐200
919
93 ‐
1995
, 200
1 ‐ 2
003
70KA
NPU
R N
AG
AR
1901
‐200
928
GA
ZIA
BAD
1901
‐200
919
83, 1
984
71KA
NPU
R D
EHA
T19
01‐2
009
1983
, 198
429
GH
AZI
PUR
1901
‐200
930
GO
ND
A19
01‐2
009
31G
ORA
KHPU
R19
01‐2
009
32H
AM
IRPU
R19
01‐2
009
1961
, 196
433
HA
RDO
I19
01‐2
009
34H
ATH
RAS
1901
‐200
919
83 1
984,
199
3, 1
994,
199
535
JALA
UN
1901
‐200
936
JAU
NPU
R19
01‐2
009
1983
, 198
437
JHA
NSI
1901
‐200
938
J.PH
ULE
NA
GA
R19
01‐2
009
1953
, 196
8, 1
983,
198
4, 1
993,
199
4, 1
995,
199
9, 2
001,
200
2, 2
003
39KA
NN
AU
J19
01‐2
009
1983
, 198
4, 1
993,
199
4, 1
995,
200
0, 2
003
40M
AH
OBA
1901
‐200
919
61, 1
964,
198
3, 1
984,
200
1, 2
002,
200
341
CHIT
RAKO
OT
1901
‐200
919
83, 1
984,
199
3, 1
994,
199
542
KAU
SHA
MBI
1901
‐200
919
83, 1
984,
199
3, 1
994
,199
543
KHU
SHIN
AG
AR
1901
‐200
919
83, 1
984,
199
3, 1
994,
199
5, 1
996,
199
944
SAN
T RA
VID
AS
NG
R19
80‐2
009
1981
‐ 19
86, 1
989,
199
9, 2
001 ‐ 2
003
45SH
RAV
AST
I19
69‐2
009
1970
, 197
3 ‐1
995,
200
1 ‐ 2
003
46S.
KABI
R N
GR
1901
‐200
919
68, 1
983,
198
4, 1
993,
199
4, 1
995,
200
1, 2
002
,200
3
Utt
ar P
rade
sh
Utt
ar P
rade
sh
Tabl
e 1.
Ava
ilabi
lity
of d
ata
of th
e di
stric
ts a
nd a
lso
mis
sing
yea
rs fo
r diff
eren
t sta
tes
in th
e ne
w ra
infa
ll se
ries
14
YR
\SD
NO
.1
23
45
67
89
1011
1213
1415
1617
1819
2021
2223
2425
2627
2829
3031
3233
3435
361901
10
23
86
13
22
19
36
39
28
10
20
15
71
47
22
25
17
15
88
10
41
18
91
04
32
38
16
14
1
1902
10
24
86
13
24
21
36
39
28
10
20
15
71
47
22
25
17
15
88
10
41
11
29
10
43
23
91
61
41
1903
10
25
86
13
24
22
36
39
28
10
20
15
81
47
22
25
17
16
88
10
41
11
29
10
43
13
91
61
41
1904
10
25
86
13
24
22
36
39
28
10
20
15
81
47
22
25
17
16
88
10
41
11
29
10
43
23
91
61
41
1905
10
25
86
13
24
23
36
39
28
10
20
15
81
47
22
25
17
16
88
10
41
11
29
10
43
23
91
61
41
1906
10
25
86
13
26
23
36
39
28
10
20
15
81
41
02
22
81
71
68
81
04
11
12
91
04
32
39
16
14
1
1907
10
25
86
13
26
23
36
39
28
10
20
15
81
41
02
22
91
71
68
81
04
11
12
91
04
32
39
16
14
1
1908
10
25
86
13
26
24
36
39
28
10
20
15
81
51
02
22
91
71
68
81
04
11
12
91
04
32
39
16
14
1
1909
00
25
96
13
26
24
36
39
28
10
20
15
81
51
02
22
91
71
68
81
04
11
12
91
04
31
39
16
14
1
1910
10
24
96
13
26
24
36
39
28
10
19
15
81
51
02
22
91
71
68
81
04
11
13
91
04
32
38
16
14
1
1911
10
25
96
12
29
24
36
39
28
10
20
15
71
61
02
22
91
71
68
81
04
11
13
91
04
32
39
16
14
1
1912
10
25
96
13
29
24
36
39
28
10
20
15
71
61
02
22
91
71
68
81
04
11
13
99
43
13
91
61
41
1913
10
25
96
13
29
24
36
39
28
10
20
15
71
61
02
22
91
71
68
81
05
11
14
99
43
23
91
61
41
1914
10
25
96
13
28
24
36
39
28
10
20
15
71
61
02
22
91
71
68
81
05
11
14
99
43
23
91
61
41
1915
10
24
96
13
29
24
36
39
28
10
20
15
71
61
02
22
91
71
68
81
05
11
14
99
43
23
91
61
41
1916
11
25
96
13
29
24
36
39
28
10
20
15
71
71
02
22
91
71
68
71
05
11
14
91
04
32
39
16
14
1
1917
11
24
96
13
29
24
36
39
28
10
20
15
71
71
02
22
91
71
68
81
05
11
14
91
04
31
39
16
14
1
1918
11
25
96
13
29
24
36
39
28
10
20
15
71
71
02
22
81
71
68
81
05
11
14
91
04
32
39
16
14
0
1919
11
25
96
13
30
24
36
39
28
10
20
15
71
71
02
22
91
71
68
81
05
11
14
91
04
32
38
16
14
1
1920
11
25
96
13
30
24
36
39
28
10
20
15
71
71
02
22
91
71
58
81
05
11
14
91
04
32
38
16
14
1
1921
11
25
96
13
30
24
36
39
28
10
20
15
81
71
02
22
81
71
68
81
05
11
14
91
04
31
38
16
14
1
1922
11
25
11
61
33
02
43
63
92
81
02
01
58
17
10
22
29
17
16
87
10
51
11
49
10
43
23
81
61
41
1923
11
25
11
61
33
02
43
63
92
81
02
01
58
17
10
22
29
17
16
88
10
51
11
49
94
32
39
16
14
1
1924
11
25
11
61
33
02
43
43
92
81
02
01
58
17
10
22
29
17
16
88
10
51
11
49
94
32
39
16
14
1
1925
11
25
11
61
33
02
43
63
92
81
02
01
58
17
10
22
29
17
16
88
10
51
11
49
94
32
39
16
14
1
1926
11
25
11
61
33
02
43
63
92
81
02
01
58
17
10
22
29
17
16
88
10
51
11
49
10
43
23
91
61
41
1927
11
25
11
61
33
02
43
53
92
81
02
01
58
17
10
22
29
17
17
88
10
51
11
59
10
43
23
91
61
41
1928
11
25
13
61
33
02
43
53
92
81
02
01
58
17
10
22
29
17
17
98
10
51
11
59
10
43
23
81
61
41
1929
13
25
13
61
33
02
43
63
92
81
02
01
58
17
10
22
29
17
17
98
10
51
11
59
10
43
23
91
61
41
1930
13
25
14
61
33
02
43
63
92
81
02
01
58
17
10
22
29
16
17
98
10
51
11
59
10
43
13
91
61
41
1931
13
25
14
61
33
02
43
63
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
59
10
43
23
10
16
14
1
1932
13
25
14
61
33
02
43
63
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
59
10
43
23
10
16
14
1
1933
13
25
14
61
33
02
33
63
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
59
10
43
23
10
16
14
1
1934
13
25
14
61
33
02
43
63
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
59
10
43
23
10
16
14
1
1935
13
25
14
61
33
02
43
53
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
59
10
43
23
10
16
14
1
1936
13
25
14
61
33
02
43
53
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
59
10
43
13
10
16
14
1
1937
13
25
14
61
33
02
43
53
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
59
10
43
23
10
16
14
1
1938
13
25
16
61
33
02
43
53
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
59
10
43
23
10
16
14
1
Ta
ble
2. N
umbe
r of d
istri
cts
used
for e
ach
year
to g
et th
e su
bdiv
isio
n va
lues
(Con
td.)
15
YR
\SD
NO
.1
23
45
67
89
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
1939
13
25
16
61
33
02
43
53
92
81
02
01
58
17
10
22
30
18
17
98
10
61
11
89
10
43
23
91
61
4
1940
13
25
16
61
33
02
43
53
92
81
02
01
58
17
10
22
30
19
17
98
10
61
11
89
10
43
13
10
16
14
1941
13
25
16
61
32
92
43
53
92
81
02
21
58
17
10
22
30
19
17
98
10
51
11
89
10
43
23
10
16
14
1942
13
24
16
61
32
92
43
53
92
81
02
21
58
17
10
22
30
19
17
98
10
61
11
89
10
43
23
10
16
14
1943
03
25
16
61
32
92
43
53
92
81
02
21
58
17
10
22
30
18
17
98
10
61
11
89
10
43
23
10
16
14
1944
03
24
15
61
32
92
43
53
92
81
02
21
59
17
10
22
30
19
17
98
10
61
11
89
10
43
13
10
16
14
1945
03
24
14
61
32
92
43
53
92
81
02
21
58
16
10
22
30
19
17
98
10
61
11
89
10
43
13
10
16
14
1946
13
25
14
61
32
92
43
63
92
81
02
21
58
16
10
22
30
19
17
98
10
61
11
89
10
43
13
10
16
14
1947
13
25
14
61
32
92
43
63
92
81
02
21
58
15
10
22
30
19
17
98
10
61
11
89
10
43
13
10
16
14
1948
03
25
15
61
32
82
43
63
92
81
02
21
58
14
10
22
30
19
17
98
10
61
11
89
10
43
13
10
16
14
1949
13
25
14
51
32
82
43
63
92
81
02
21
57
14
10
22
29
19
17
98
10
61
11
89
10
43
13
10
16
14
1950
13
25
14
61
32
62
43
63
92
81
02
11
38
14
10
22
30
19
17
98
10
61
11
89
10
43
13
10
16
14
1951
13
24
12
61
31
42
43
53
92
81
12
11
21
11
31
02
23
01
91
79
81
08
11
18
91
04
32
31
01
61
4
1952
11
25
16
61
32
92
43
33
92
71
12
11
51
11
39
22
30
19
17
97
10
71
11
89
10
43
23
11
16
14
1953
31
24
14
61
31
52
43
53
92
71
12
21
41
01
31
02
23
01
91
79
71
08
11
18
91
04
32
31
11
61
4
1954
30
25
13
61
32
72
43
63
92
71
12
52
01
21
31
02
23
01
91
79
81
08
11
18
91
04
32
31
11
61
4
1955
30
25
14
61
33
02
43
63
92
81
22
52
01
21
41
02
23
01
91
79
81
08
11
18
91
04
32
31
11
61
4
1956
30
25
14
61
32
82
43
63
92
81
22
52
01
21
31
02
23
01
81
79
81
08
11
18
91
04
32
31
11
61
4
1957
31
25
17
61
22
92
43
63
92
81
12
42
01
25
10
22
30
19
17
98
10
81
11
89
10
43
23
11
16
14
1958
31
18
76
12
30
24
35
39
27
12
25
19
12
12
10
22
30
20
17
98
10
81
11
89
10
43
23
11
16
14
1959
31
25
18
61
31
82
33
43
82
81
22
61
91
21
11
02
22
91
91
79
81
08
11
17
91
04
32
31
11
61
4
1960
31
18
15
51
31
72
43
33
92
81
22
62
01
11
51
02
22
92
01
79
81
08
11
15
91
04
32
31
11
61
4
1961
31
18
15
61
31
82
43
63
92
61
22
51
91
21
61
02
22
91
81
89
81
08
11
16
91
04
32
31
11
61
4
1962
31
17
15
61
31
72
43
63
92
91
12
52
01
21
91
02
23
01
91
78
81
08
11
18
91
04
32
31
11
61
4
1963
31
16
15
61
31
72
43
53
92
91
22
51
91
01
21
02
23
02
01
79
81
08
11
18
91
04
32
31
11
61
4
1964
31
18
96
12
25
24
37
37
27
11
26
20
12
13
10
22
29
19
18
98
10
81
01
79
10
43
23
11
16
14
1965
33
18
14
61
31
92
43
73
92
91
22
72
01
21
31
02
13
02
01
89
81
08
10
17
91
04
29
31
11
61
4
1966
31
12
21
56
13
19
24
37
39
29
12
91
71
01
81
02
22
91
81
89
81
08
11
17
91
04
32
31
11
61
4
1967
33
22
14
61
22
82
43
73
92
91
11
11
71
21
81
02
02
91
81
89
71
07
11
17
99
43
23
11
16
14
1968
31
12
11
46
13
20
24
37
32
24
12
24
20
12
17
10
21
30
20
17
98
10
81
11
89
10
43
33
11
16
14
1969
31
31
71
56
13
19
24
37
40
29
12
23
20
11
18
10
22
29
17
17
98
10
81
11
39
10
43
33
11
16
14
1970
33
13
15
51
22
92
43
73
92
91
22
21
91
21
31
02
22
61
81
89
81
08
11
11
91
04
34
31
11
61
4
1971
39
18
16
91
32
91
31
24
02
91
22
67
12
13
10
22
27
19
18
98
10
81
11
19
10
43
33
11
16
14
1972
39
18
14
10
13
19
13
15
40
29
12
25
14
12
14
10
22
27
20
18
98
10
81
11
69
10
43
33
11
16
14
1973
38
18
15
10
13
30
13
13
39
29
12
26
20
12
13
10
22
30
17
18
98
10
81
11
89
10
43
33
11
16
14
1974
38
17
16
10
13
30
19
37
39
29
12
25
20
12
12
10
22
30
17
19
98
10
81
11
89
10
43
33
11
16
14
1975
37
20
16
10
13
29
24
37
39
29
12
25
20
12
14
10
22
30
17
19
98
10
81
11
89
10
43
43
11
16
14
1976
31
22
51
49
13
26
24
37
39
29
12
26
20
12
13
10
22
30
17
19
97
10
81
11
89
10
43
43
11
16
14
1977
31
12
51
51
01
32
62
23
53
92
91
22
62
01
21
31
02
22
91
82
09
81
08
11
18
91
04
33
31
11
61
4
Ta
ble
2. N
umbe
r of d
istri
cts
used
for e
ach
year
to g
et th
e su
bdiv
isio
n va
lues
(Con
td.)
16
YR\S
D N
O.
12
34
56
78
910
1112
1314
1516
1718
1920
2122
2324
2526
2728
2930
3132
3334
3536
1978
313
268
1013
2822
3539
2912
2620
1113
1022
3018
209
810
811
189
104
343
1116
141
1979
312
2810
913
2823
3639
2912
2620
1214
1022
3018
199
810
811
189
104
343
1116
141
1980
313
279
813
2223
3740
2912
2520
1213
1022
3018
189
810
811
189
104
343
1116
141
1981
314
2910
813
2622
3639
2912
2620
1214
1022
2918
198
810
811
169
104
343
1116
141
1982
313
289
513
2922
3439
2912
2620
1214
1022
3019
199
810
811
169
104
343
1015
141
1983
314
3110
613
2822
3417
159
2620
1210
1022
3020
199
810
811
179
104
343
1116
141
1984
314
315
713
2923
3418
158
2618
1211
1022
2920
189
810
811
179
104
343
1116
141
1985
314
3311
613
2922
3439
2912
2218
1211
1022
3020
189
810
811
188
104
343
1116
141
1986
314
3115
513
2923
3739
2912
2218
129
1022
3020
179
810
811
188
104
343
1116
141
1987
38
3113
813
2922
3640
2912
2018
128
1022
3020
178
810
811
189
104
323
1116
101
1988
38
2513
713
2922
3540
2912
2220
128
1022
3020
178
810
811
189
104
343
1116
121
1989
37
2613
712
2924
3839
2912
1920
128
1022
3020
178
810
711
189
104
333
1116
131
1990
38
2614
813
2922
3540
3013
2420
129
1022
3020
179
710
811
189
104
343
1116
141
1991
38
3215
1013
3024
3840
3013
2520
128
1022
3020
119
710
811
189
104
343
1116
141
1992
38
3214
1013
3024
3840
3013
2520
1210
1022
3020
199
710
811
189
104
323
1116
141
1993
39
3216
1013
2524
3833
268
2520
1212
1022
3020
199
710
811
189
104
343
1116
141
1994
39
3116
1013
2824
3833
268
2520
1213
1022
3020
199
710
811
189
104
343
1116
141
1995
39
3218
913
2624
3832
268
2520
1210
1022
3020
199
710
811
189
104
343
1116
141
1996
39
3218
813
2724
3838
3013
2520
1212
921
3020
189
710
811
189
104
343
1116
141
1997
39
3219
1013
2924
3841
3013
2520
1211
920
3020
179
710
811
189
104
343
1115
141
1998
28
3020
913
2824
3841
3013
2520
1213
921
3020
169
710
811
189
104
343
1116
141
1999
39
3021
1013
2524
3836
2912
2620
1214
921
3020
128
710
811
189
104
343
1114
141
2000
29
3020
1013
2524
3840
3012
2520
1213
921
2818
88
710
811
89
104
343
1116
141
2001
39
3021
1013
2524
3838
279
2720
1213
712
3020
189
710
811
89
104
343
1116
141
2002
39
3022
913
2624
3838
279
2620
1213
815
3020
188
710
811
89
104
313
1116
141
2003
39
2621
912
2624
3737
279
267
1212
815
3020
188
710
811
79
104
303
1114
141
2004
39
2720
912
2424
3841
309
277
911
714
2920
117
710
811
69
104
292
79
141
2005
38
2612
712
1812
3841
309
277
90
812
2015
117
78
48
89
104
242
69
81
2006
06
190
65
168
3841
305
00
00
65
1413
77
77
59
88
94
230
00
00
2007
00
00
60
00
041
300
00
00
00
00
00
00
00
00
00
00
00
140
2008
00
00
00
00
041
300
00
00
00
00
00
00
00
00
00
00
00
140
2009
00
00
00
00
041
300
00
00
00
00
00
00
00
00
00
00
00
140
Tabl
e 2.
Num
ber o
f dis
trict
s us
ed fo
r eac
h ye
ar to
get
the
subd
ivis
ion
valu
es
17
YE
AR\S
D NO
12
34
56
78
910
1112
1314
1516
1718
1920
2122
2324
2526
2728
2930
3132
3334
3536
1901
10
8010
2256
5239
7211
211
434
4045
1623
3082
4038
5727
3288
459
1190
1244
172
2139
8747
119
021
083
1023
5755
5273
114
115
3440
4516
2631
8640
4057
2736
924
5920
9012
4418
120
3893
481
1903
10
8310
2357
5753
7711
411
534
4044
1727
3186
4040
5827
3696
459
2390
1244
185
2037
9350
119
041
086
1023
5659
5577
114
115
3341
4517
2731
8738
4058
2635
934
5824
9012
4319
119
3794
501
1905
10
8610
2358
6061
8111
511
533
4145
1727
3187
4042
5827
3692
460
2692
1247
198
2038
9261
119
061
087
1124
5870
6183
114
115
3341
4517
2747
8766
4661
2837
974
6639
9312
4720
120
3893
611
1907
10
8911
2462
6962
8111
611
633
4145
1727
4788
7047
6128
3793
464
3993
1247
200
2038
9566
119
081
088
1124
6369
6386
117
116
3342
4517
2747
8871
4761
2835
954
6638
9312
4720
020
3892
691
1909
00
8712
2467
7263
8711
711
633
4245
1728
4790
7147
6128
3696
467
3993
1247
198
2038
9369
119
101
092
1124
7572
6792
117
117
3341
4517
2949
9171
4761
2836
964
6740
9312
4720
020
3793
691
1911
10
9212
2476
7868
9911
612
233
4346
1630
4992
7247
6128
3595
467
4093
1249
204
1937
9169
119
121
094
1224
7780
6992
117
122
3343
4716
3049
9371
4761
2836
984
6641
9211
5120
520
3794
681
1913
10
9411
2274
8172
9711
712
233
4146
1630
4993
7248
6128
3696
567
4293
1151
204
2037
9270
119
141
093
1223
7683
7110
911
712
234
4246
1631
4994
7350
6128
3694
569
4394
1252
206
1937
9470
119
151
094
1323
8288
7711
511
712
134
4246
1631
4993
7351
6128
3696
571
4495
1252
209
2035
9369
119
161
196
1324
8388
7811
811
712
134
4246
1632
4995
7251
6128
3596
572
4496
1352
223
2037
9473
119
171
195
1324
8292
7911
911
712
234
4246
1632
4995
7453
6128
3498
570
4496
1352
218
2037
9473
119
181
196
1223
8693
8011
911
712
234
4146
1632
4995
7554
6028
3699
574
4496
1352
222
2036
9470
019
191
196
1324
9597
8112
111
712
234
4246
1632
4994
7453
6128
3697
573
4596
1352
222
2035
9471
119
201
196
1324
9799
8112
311
712
234
4246
1633
4995
7653
6028
3596
574
4596
1353
220
1936
9274
119
211
198
1325
9899
8112
611
612
133
4246
1733
4895
7454
6128
3797
575
4595
1354
221
2035
9274
119
221
199
1525
9597
8212
611
812
234
4246
1733
4993
7356
6128
3698
575
4597
1353
221
2036
9073
119
231
199
1525
9910
184
130
118
122
3442
4517
3349
9479
5662
2837
985
7544
9612
5422
420
3694
732
1924
11
9815
2510
010
185
130
117
122
3442
4517
3449
9481
5662
2735
995
7444
9712
5422
020
3792
742
1925
11
9915
2596
102
8513
111
812
234
4245
1734
4982
7154
6228
3610
05
7543
9612
5422
220
3692
722
1926
11
9815
2495
103
8513
011
912
434
4245
1734
5082
6954
6228
3610
05
7544
9613
5422
220
3691
711
1927
11
9915
2497
102
8612
811
912
434
4245
1735
5082
7175
7129
3699
579
6097
1355
225
2035
9573
119
281
199
1721
9510
386
127
118
124
3442
4617
3362
9577
7470
3142
985
8060
9713
6222
319
3394
731
1929
13
9917
2397
105
8612
811
912
434
4246
1733
6610
484
7571
3140
965
8159
9713
6222
620
3695
751
1930
13
100
1824
101
105
8713
111
812
433
4246
1834
6710
986
7671
3143
945
7960
9826
6622
420
3795
742
1931
13
9918
2499
105
8813
212
012
533
4246
1835
6811
610
176
7231
4198
880
5997
4165
224
2041
9374
219
321
310
118
2310
110
788
133
120
124
3342
4619
3568
118
100
7877
3141
998
8160
9742
6422
319
4191
752
1933
13
100
1824
101
108
8913
512
112
433
4246
1935
6811
810
178
7731
4398
880
5798
4865
230
2041
108
752
1934
13
101
1824
103
111
9213
412
112
434
4346
1934
6811
910
280
8230
4310
48
8060
9948
6523
019
4210
973
219
351
310
118
2310
310
893
137
121
124
3443
4519
3468
119
103
8082
3145
105
881
5999
5067
231
2041
109
762
1936
13
101
1823
107
111
9414
212
012
439
4345
1934
6812
310
480
8331
4710
58
8159
100
5368
232
2041
110
752
1937
13
101
1825
110
112
9614
112
112
438
4345
1934
6812
210
680
8331
4610
68
7859
9953
7023
020
4211
276
2
Ta
ble
3. N
umbe
r of s
tatio
ns u
sed
for e
ach
year
to g
et th
e su
bdiv
isio
n va
lues
(Con
td)
18
YE
AR\S
D NO
12
34
56
78
910
1112
1314
1516
1718
1920
2122
2324
2526
2728
2930
3132
3334
3536
1938
13
101
2725
111
113
9614
212
012
439
4346
1935
6812
310
679
8331
4710
78
7960
100
5570
233
1942
112
752
1939
13
101
2724
110
114
9614
012
212
439
4346
1935
6812
310
679
8331
4411
08
8071
9956
7023
519
4111
073
219
401
310
227
2511
211
695
141
122
123
3945
4519
3568
126
108
8383
3144
109
880
6910
057
7023
221
4111
174
219
411
310
327
2411
310
395
142
123
124
3951
4719
3768
126
108
8583
3144
108
781
6999
5870
235
2142
111
742
1942
13
100
2723
114
9296
140
122
124
3950
4719
3769
132
107
8583
3146
109
881
7210
058
6923
820
4111
276
219
430
398
2723
104
112
9613
912
412
439
5147
1938
6913
210
983
8331
4510
69
8171
100
6569
233
2041
112
722
1944
03
100
2624
105
110
9113
312
312
336
5147
2038
6813
310
785
8331
4310
99
8172
101
6570
238
2142
111
772
1945
03
100
2524
9910
697
132
125
125
3851
4719
3270
134
109
8683
3145
110
983
7210
265
7023
721
4211
176
219
461
399
2523
9411
193
135
126
126
3951
4719
3269
135
108
8683
3147
111
984
7310
365
6923
821
4210
880
119
471
396
2522
8410
990
136
126
126
3951
4719
2969
135
107
8683
3146
109
983
7410
364
7123
421
4210
878
219
480
394
2626
8810
110
013
112
512
639
5147
1923
6913
410
985
8331
4710
99
8574
102
6571
240
2042
112
802
1949
13
9325
2175
8198
131
128
126
3952
4718
2470
135
108
8782
3147
103
986
7410
364
7023
420
4111
480
219
501
382
2325
7562
100
122
127
127
3849
4018
2570
134
110
8780
3148
105
988
7210
364
7023
621
4610
979
219
511
386
2126
7720
120
140
128
112
4454
4252
2451
121
114
102
8831
4710
730
8677
187
8682
310
2045
112
832
1952
11
9826
2595
117
119
131
131
116
4551
4959
2443
116
114
101
9033
4510
231
8883
187
9684
313
2054
262
842
1953
61
9224
2493
2111
612
512
212
145
4945
6124
4412
411
996
9139
4810
434
9087
189
103
8531
920
5525
784
219
547
010
617
2591
9412
312
813
112
446
6480
6623
5212
311
410
093
3450
103
3590
8418
610
389
314
1853
258
852
1955
60
102
2621
8098
126
130
130
124
5162
7872
2453
122
116
101
127
4358
113
3590
8418
810
290
325
2059
269
852
1956
50
9626
2183
109
118
127
131
125
5263
8469
2954
122
111
9012
544
5812
234
8785
190
9890
326
2160
269
812
1957
51
9932
2382
107
110
120
130
124
5158
8673
1564
215
110
9212
544
5612
937
8881
189
140
8732
821
6928
283
319
585
127
1719
7610
312
313
613
012
556
5887
7523
6721
611
393
126
4657
124
3586
8919
713
889
324
2168
272
813
1959
61
9229
2184
2612
413
713
212
763
6483
6924
6521
611
094
127
4757
125
3585
8519
514
180
328
2064
270
811
1960
61
2526
2085
2511
913
012
612
451
6510
069
4267
220
102
7312
674
5812
235
8165
191
144
8533
721
6627
083
219
616
123
2922
8426
139
182
134
113
5760
9365
5166
225
108
7911
877
5312
338
7675
199
142
9132
720
6626
780
219
626
125
2621
7325
140
170
133
122
5560
6764
5468
223
132
8911
870
5512
137
6784
190
151
9131
821
6925
578
219
636
124
2919
5925
143
170
132
118
5859
7365
3465
223
133
9411
676
4910
834
5583
196
144
9031
820
6925
677
219
645
124
1616
4054
142
197
119
9942
6671
6534
6722
512
896
121
7659
121
2460
7896
148
6732
219
7225
578
219
655
324
2617
4429
156
217
144
133
6571
7070
3568
202
135
9911
058
4689
2657
8399
7560
205
2071
239
795
1966
630
6128
1753
2716
121
013
612
657
1364
6058
6722
612
983
127
6937
9026
6580
101
7562
344
2065
217
774
1967
73
5427
1848
102
157
189
127
123
5515
6671
6166
169
114
6912
769
3793
2645
6694
5765
322
2166
219
733
1968
731
5527
1741
2917
016
910
598
5454
5772
6071
200
137
9210
454
4691
3656
7518
717
010
633
620
6720
483
419
697
4026
2715
3327
160
162
137
133
5654
6273
6566
219
118
7379
7546
107
3572
6019
218
310
533
822
7122
979
419
706
316
2713
3213
816
416
413
113
158
4962
7133
7021
869
4711
389
6011
338
7641
191
179
103
338
2175
245
754
1971
712
3028
4032
115
5414
137
136
5979
881
3213
828
485
5914
391
6012
036
7634
198
153
8933
322
9925
974
419
727
1128
2641
2125
5017
145
140
6570
3880
3413
425
910
770
147
9050
125
4073
6322
218
910
532
737
7526
082
319
737
1030
2837
2412
854
1613
713
660
6572
7932
134
264
119
5515
593
6012
138
7663
201
169
9835
042
119
301
703
1974
710
2929
3926
155
9024
913
713
456
6579
7930
133
261
118
5015
087
6211
943
8069
221
191
103
351
3610
728
975
3
Tabl
e 3.
Num
ber o
f sta
tions
use
d fo
r eac
h ye
ar to
get
the
subd
ivis
ion
valu
es (C
ontd
)
19
YE
AR\S
D NO
12
34
56
78
910
1112
1314
1516
1718
1920
2122
2324
2526
2728
2930
3132
3334
3536
1975
79
3429
4223
127
191
287
135
135
5665
7879
3213
025
712
758
147
8863
123
4381
7119
016
610
235
825
7224
775
319
766
2366
2648
2198
186
274
142
138
5968
8478
3113
125
412
858
152
9154
119
5078
7419
315
610
635
044
113
277
774
1977
726
7029
5022
8912
424
514
013
553
7189
6330
157
345
125
6115
889
5212
044
7667
203
176
110
343
2576
269
794
1978
727
7217
5024
109
131
242
133
114
4669
9262
3398
314
130
6315
283
5212
139
7763
205
185
110
344
2712
426
759
419
796
2770
1945
2213
813
925
614
112
457
6689
5835
111
286
133
6214
293
6511
842
7768
201
170
107
338
4284
290
554
1980
728
6618
4021
5213
528
114
713
652
6890
6732
101
303
126
5415
911
054
122
4380
7019
116
410
833
844
123
307
543
1981
727
8519
4519
122
106
255
137
120
5070
9364
3486
288
124
5715
310
664
114
4674
6422
517
813
637
610
327
649
749
219
827
2788
1535
3511
413
026
213
711
450
7191
6335
8827
612
771
142
105
6111
848
7959
234
167
126
377
9922
136
754
219
837
2685
1815
3611
713
327
128
2224
6886
6519
8524
212
569
142
100
6111
140
7563
216
158
125
375
102
266
428
872
1984
625
945
1835
157
137
258
2723
2167
8557
2093
266
110
8314
198
6011
944
6662
213
173
125
380
9525
447
841
219
858
2692
1928
3615
312
426
714
012
052
5390
6419
8424
312
793
148
105
6010
643
7271
197
172
9731
697
249
484
582
1986
827
9632
3237
151
152
340
137
114
4951
8664
1671
221
127
8814
710
955
114
4187
7319
916
193
288
9725
247
263
219
878
988
3126
3815
213
230
914
111
748
4985
6616
6620
713
195
141
9462
120
4889
6818
415
510
035
692
275
488
262
1988
68
4732
2736
152
117
263
136
112
4450
9068
1472
224
164
119
145
101
5612
749
8578
212
175
119
461
120
338
581
272
1989
87
4629
2520
158
191
387
141
109
3945
8960
1270
217
172
121
141
107
5896
3880
9351
250
028
036
011
235
058
322
219
908
953
3827
2916
312
523
614
211
342
5887
6315
7122
317
113
015
110
558
119
4910
810
120
613
611
540
012
339
157
363
319
917
916
240
3757
366
183
396
138
115
4767
8575
1273
226
172
139
2010
762
111
5212
487
456
508
302
406
118
373
608
633
1992
79
173
4049
4935
318
540
713
711
146
6882
6518
6721
315
111
615
611
962
122
5212
273
493
484
292
425
115
373
595
623
1993
710
175
4242
3973
194
409
124
101
1673
8378
2584
240
170
127
168
112
6112
653
128
8950
847
729
345
911
837
457
663
319
946
1017
134
4236
7418
135
411
710
215
7289
7130
7624
517
512
816
911
862
125
5412
986
520
468
268
491
116
367
584
633
1995
810
163
3530
2970
183
384
110
100
1472
8360
2077
244
176
118
143
9160
123
5513
186
325
385
201
494
118
350
517
633
1996
710
165
3830
3383
173
379
152
124
5572
8559
1941
9917
812
117
410
362
123
5212
480
351
399
207
485
114
357
562
632
1997
511
152
4145
4194
183
374
184
131
7272
8158
1927
6618
412
215
710
959
117
5312
787
354
405
213
534
116
256
458
532
1998
310
160
4542
4094
182
343
184
130
6672
8260
2237
7118
012
217
010
960
128
7413
883
349
388
205
477
106
349
550
532
1999
711
158
5547
4473
170
334
157
125
5576
8460
2335
7717
212
326
1365
127
6810
781
356
403
211
456
117
354
473
532
2000
312
143
5444
4462
172
310
171
131
5173
8360
2244
9014
510
39
1339
118
7110
350
358
406
214
477
108
349
478
502
2001
613
135
5950
5369
171
284
137
101
1775
8369
218
1418
012
614
292
6512
671
134
1434
238
620
555
511
034
150
949
220
024
1213
662
5133
7215
925
014
098
1672
8474
219
2017
612
613
791
6511
471
136
1434
238
820
548
411
534
651
948
320
034
1362
5849
3065
189
227
139
9819
7010
7721
1018
176
125
138
8966
111
7113
612
342
390
204
492
113
203
447
483
2004
413
6360
5031
6021
620
518
513
519
7610
1920
918
163
117
2511
6612
571
134
1034
139
120
449
95
911
483
2005
311
6032
2930
2043
266
192
139
1577
1119
09
1727
2225
1019
155
1412
341
387
203
325
811
113
2006
07
370
2216
1716
317
191
128
70
00
06
515
147
1012
95
912
149
632
00
00
020
070
00
021
00
00
181
116
00
00
00
00
00
00
00
00
00
00
00
069
020
080
00
00
00
00
180
123
00
00
00
00
00
00
00
00
00
00
00
067
020
090
00
00
00
00
179
116
00
00
00
00
00
00
00
00
00
00
00
065
0
Tabl
e 3.
Num
ber o
f sta
tions
use
d fo
r eac
h ye
ar to
get
the
subd
ivis
ion
valu
es
20
IMD
New
IMD
New
IMD
Ne
wIM
DN
ew
IMD
New
Jan
ua
ry19
.11
9.4
16
.81
8.2
15
.41
65
6.4
(19
43
)56
.8(1
94
3)
4.3
(19
14
)4
.4(1
94
6)
Fe
bru
ary
22
.32
2.7
21
.12
1.8
28
.99
.85
1.8
(19
37
)50
.6(1
93
7)
3(1
96
0)
2.7
(19
60
)
Marc
h26
.62
7.8
23
.22
5.3
18
.61
96
1.5
(19
67
)63
.3(1
96
7)
6.9
(19
09
)6
.6(1
90
9)
Ap
ril
37
.93
8.1
37
.63
7.1
37
.13
17
0.5
(19
77
)68
.3(1
97
7)
12
.8(1
99
9)
15.8
(19
06
)
May
62
.36
3.0
59
.55
9.5
58
.65
9.4
11
7(1
99
0)
11
2.9
(19
90
)3
1.3
(19
07
)3
2.7
(19
07
)
Ju
ne
16
8.3
169
.41
67.4
16
81
26
.21
91.3
27
7(1
93
8)
27
3.4
(19
38
)8
7.4
(19
05
)9
3.7
(19
05
)
Ju
ly2
95
.52
90
.92
97.1
29
4.1
32
6.3
28
4.9
38
2.7
(19
88
)3
75.5
(19
59
)1
46
.2(2
00
2)
14
3.8
(20
02)
Au
gu
st
26
1.9
256
.72
60
.22
54.3
30
3.7
27
43
47
(19
26
)3
30.5
(19
26
)1
88
.8(1
91
3)
19
1.6
(19
20
)
Sep
tem
be
r1
73
.71
71
.61
73.6
17
1.7
17
3.7
17
1.7
28
5.6
(19
17)
27
8.1
(19
17
)9
4.4
(19
07
)9
5.4
(19
07
)
Octo
ber
78
.97
7.3
71
.37
0.5
67
.76
9.8
15
9.2
(19
17)
16
1.3
(19
17
)2
0.4
(19
18
)1
9.5
(19
18
)
No
ve
mb
er
30
.72
9.7
27
.52
61
0.9
29
.47
7.8
(19
79)
76
.1(1
979
)3
.6(1
954
)3
.6(1
954
)
Dec
em
ber
15
.71
4.8
14
.91
4.4
4.9
16
.15
8.5
(19
97)
56
.1(1
967
)1
.7(1
939
)1
.6(1
970
)
Jan
ua
ry-
Feb
ruary
41
.14
1.3
40
.34
1.9
37
.32
4.7
74
.2(1
90
1)
74
.9(1
954
)1
0.6
(19
02
)11.6
(19
02
)
Marc
h-
Ma
y1
26
.41
27
.81
24.5
12
4.6
10
9.2
10
7.3
22
6.8
(19
90)
21
0.7
(19
90
)8
0(1
910
)8
3.5
(19
10
)
Ju
ne
-S
ep
tem
ber
89
7.6
889
.39
05.4
89
5.7
95
3.2
96
5.2
11
22.8
(19
17
)1
08
4.3
(19
17
)6
93
.5(1
97
2)
67
4.3
(19
72
)
Oc
tob
er-
De
ce
mb
er
12
4.6
121
.21
20.3
12
0.9
13
9.7
15
2.7
21
3.8
(19
56)
20
6.1
(19
56
)5
2.4
(19
08
)5
2.7
(19
08
)
An
nu
al
119
3.0
11
82
.011
95.1
11
89
.51
03
0.5
10
30.8
15
03.5
(19
17
)1
46
3.9
(19
17)
963
.5(1
90
5)
93
5.9
(20
02
)
Me
dia
nM
od
eM
ax
imu
mM
inim
um
Me
an
Tim
eS
ca
le
Tab
le4.
Com
parison
of
the
descriptive
st a
tistics
betw
een
the
new
series
and
the
exis
ting
IMD
series
of
all
India
rain
fall
21
Fig. 1. Name and location of meteorological sub-divisions of India
22
Fig. 2. Yearly frequency of number of raingauge stations for the country
Fig. 3. Yearly frequency of number of districts for the country
23
JAN - FEB
0
10
20
30
40
50
60
70
80
1901
1905
1909
1913
1917
1921
1925
1929
1933
1937
1941
1945
1949
1953
1957
1961
1965
1969
1973
1977
1981
1985
1989
1993
1997
2001
2005
2009
YEAR
RA
INFA
LL (i
n m
m)
IMD SERIES
NEW SERIES
(a)
0
50
100
150
200
250
1901
1905
1909
1913
1917
1921
1925
1929
1933
1937
1941
1945
1949
1953
1957
1961
1965
1969
1973
1977
1981
1985
1989
1993
1997
2001
2005
2009
RAI
NFA
LL (i
n m
m)
YEAR
MARCH - MAY
IMD SERIES
NEW SERIES
(b)
24
JUNE - SEPTEMBER
500
600
700
800
900
1000
1100
1200
1901
1905
1909
1913
1917
1921
1925
1929
1933
1937
1941
1945
1949
1953
1957
1961
1965
1969
1973
1977
1981
1985
1989
1993
1997
2001
2005
2009
YEAR
RA
INFA
LL (i
n m
m)
IMD SERIES
NEW SERIES
(c)
OCTOBER - DECEMBER
0
50
100
150
200
250
1901
1905
1909
1913
1917
1921
1925
1929
1933
1937
1941
1945
1949
1953
1957
1961
1965
1969
1973
1977
1981
1985
1989
1993
1997
2001
2005
2009
YEAR
RA
INFA
LL (i
n m
m)
IMD SERIES
NEW SERIES
(d)
Fig. 4. Comparison of the seasonal rainfall between the new rainfall series and existing rainfall series of IMD.
25
ANNUAL
700
800
900
1000
1100
1200
1300
1400
1500
1600
1901
1905
1909
1913
1917
1921
1925
1929
1933
1937
1941
1945
1949
1953
1957
1961
1965
1969
1973
1977
1981
1985
1989
1993
1997
2001
2005
2009
YEAR
RA
INFA
LL (i
n m
m)
IMD SERIES
NEW SERIES
Fig. 5. Comparison of the annual rainfall between the new rainfall series and
existing rainfall series of IMD.
26
N C C RESEARCH REPORTS
1) New statistical models for long range forecasting of southwest monsoon rainfall over India, M. Rajeevan, D. S. Pai and Anil Kumar Rohilla, September 2005.
2) Trends in the rainfall pattern over India, P. Guhathakurta and M. Rajeevan, May 2006.
3) Trends in Precipitation Extremes over India, U. R. Joshi and M. Rajeevan, October 2006.
4) On El Nino-Indian Monsoon Predictive Relationships, M. Rajeevan and D. S. Pai, November 2006. 5) An Analysis of the Operational Long Range Forecasts of 2007 Southwest Monsoon Rainfall, R.C. Bhatia, M. Rajeevan, D.S. Pai, December 2007.
6) Active and Break Spells of the Indian Summer Monsoon, M. Rajeevan, Sulochana Gadgil and Jyoti Bhate, March 2008.
7) Indian Summer Monsoon Onset: Variability and Prediction, D.S.Pai and M. Rajeevan, October 2007.
8) Development of a High Resolution Daily Gridded Temperature Data Set (1969-2005) for the Indian Region, A K Srivastava, M Rajeevan and S R Kshirsagar, June 2008.
9) A High Resolution Daily Gridded Rainfall Data Set (1971-2005) for Mesoscale Meteorological Studies, M. Rajeevan and Jyoti Bhate, August 2008.
10) Impact of MJO on the Intraseasonal Variation of Summer Monsoon Rainfall over India, D. S. Pai, Jyoti Bhate, O. P. Sreejith and H.R. Hatwar, April 2009.
11) Development of a high resolution daily gridded pressure data set (1969-2007) for the Indian region, A. K. Srivastava, S. R. Kshirsagar and H. R. Hatwar, April 2009.
12) Mapping of Drought Areas over India, P.G. Gore, Thakur Prasad and H.R. Hatwar, January 2010. 13) District-wise Drought Climatology Of The Southwest Monsoon Season over India Based on Standardized Precipitation Index (SPI), D. S. Pai, Latha Sridhar, Pulak Guhathakurta and H. R. Hatwar. 14) Changes in extreme rainfall events and flood risk in India during the last century, P. Guhathakurta, Preetha Menon, A. B. Mazumdar and O. P. Sreejith 15) Impact of Climate Change on Land Degradation over India, P.G. Gore, B.A. Roy and H.R. Hatwar
