India
IND
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675,352
Records
20
Datasets
60
Tables
15
Sources
313
SEL Fields
71
CCL Fields
📋
Most recent national census: 2011.
Included in HERA.
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Datasets (20)
SEL — DGIWG Statistical Extent Location
SEL+ — Platform extension (not in DGIWG core spec)
CCL — DGIWG Cultural Context Location
Extension — Preserved in extension tables (not in core SEL/CCL schema)
Pending — Awaiting mapping
IND Office of the Registrar General & Census Commissioner, India (ORGI)
IND-CENSUSINDIA
Census
540,832 rows · 18 table(s)
Office of the Registrar General & Census Commissioner, India (ORGI)
0
1
2
3
4
138 SEL
14 CCL
685 ext
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or use the per-admin-level buttons below. Free downloads return a 10-row sample.
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0
Admin 0
— 5 table(s)
IND CensusIndia - C01 Religion (admin_0)
— 4 rows, 43 columns
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Field details — 43 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND |
Total / Persons |
Total - Persons | integer | SEL | 0% | 4 | 1210854977, 833748852, 377106125, 6998 |
Total / Males |
Total - Males | integer | SEL | 0% | 4 | 623270258, 427781058, 195489200, 3543 |
Total / Females |
Total - Females | integer | SEL | 0% | 4 | 587584719, 405967794, 181616925, 3455 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0 |
region_name |
region_name | string | SEL | 0% | 2 | INDIA, INDIA, INDIA, Indian Tehephone Industry, Mankapur... |
region_code |
region_code | string | SEL | 0% | 2 | 00-000-00000-000000, 00-000-00000-000000,... |
Extension Fields (36)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c01_religion, c01_religion, c01_religion, c01_religion |
study_id |
study_id | integer | 0% | 2 | 11361, 11361, 11361, 11394 |
Table / Name |
Table - Name | string | 0% | 2 | C0100, C0100, C0100, C0101 |
State / Code |
State - Code | integer | 0% | 2 | 00, 00, 00, 09 |
Distt. / Code |
Distt. - Code | integer | 0% | 2 | 000, 000, 000, 183 |
Tehsil / Code |
Tehsil - Code | integer | 0% | 2 | 00000, 00000, 00000, 00931 |
Town / Code |
Town - Code | integer | 0% | 2 | 000000, 000000, 000000, 175980 |
Area Name |
Area Name | string | 0% | 2 | INDIA, INDIA, INDIA, Indian Tehephone Industry, Mankapur... |
Total/ / Rural/ / Urban |
Total/ - Rural/ - Urban | string | 0% | 3 | Total, Rural, Urban, Urban |
Religious communities / Hindu / Persons |
Religious communities - Hindu - Persons | integer | 0% | 4 | 966257353, 684093951, 282163402, 6475 |
Religious communities / Hindu / Males |
Religious communities - Hindu - Males | integer | 0% | 4 | 498306968, 351423647, 146883321, 3279 |
Religious communities / Hindu / Females |
Religious communities - Hindu - Females | integer | 0% | 4 | 467950385, 332670304, 135280081, 3196 |
Religious communities / Muslim / Persons |
Religious communities - Muslim - Persons | integer | 0% | 4 | 172245158, 103504739, 68740419, 421 |
Religious communities / Muslim / Males |
Religious communities - Muslim - Males | integer | 0% | 4 | 88273945, 52870001, 35403944, 208 |
Religious communities / Muslim / Females |
Religious communities - Muslim - Females | integer | 0% | 4 | 83971213, 50634738, 33336475, 213 |
Religious communities / Christian / Persons |
Religious communities - Christian - Persons | integer | 0% | 4 | 27819588, 16657065, 11162523, 41 |
Religious communities / Christian / Males |
Religious communities - Christian - Males | integer | 0% | 4 | 13751031, 8295745, 5455286, 21 |
Religious communities / Christian / Females |
Religious communities - Christian - Females | integer | 0% | 4 | 14068557, 8361320, 5707237, 20 |
Religious communities / Sikh / Persons |
Religious communities - Sikh - Persons | integer | 0% | 4 | 20833116, 14930792, 5902324, 15 |
Religious communities / Sikh / Males |
Religious communities - Sikh - Males | integer | 0% | 4 | 10948431, 7839048, 3109383, 8 |
Religious communities / Sikh / Females |
Religious communities - Sikh - Females | integer | 0% | 4 | 9884685, 7091744, 2792941, 7 |
Religious communities / Buddhist / Persons |
Religious communities - Buddhist - Persons | integer | 0% | 4 | 8442972, 4814849, 3628123, 17 |
Religious communities / Buddhist / Males |
Religious communities - Buddhist - Males | integer | 0% | 4 | 4296010, 2457022, 1838988, 9 |
Religious communities / Buddhist / Females |
Religious communities - Buddhist - Females | integer | 0% | 4 | 4146962, 2357827, 1789135, 8 |
Religious communities / Jain / Persons |
Religious communities - Jain - Persons | integer | 0% | 4 | 4451753, 904809, 3546944, 5 |
Religious communities / Jain / Males |
Religious communities - Jain - Males | integer | 0% | 4 | 2278097, 467577, 1810520, 2 |
Religious communities / Jain / Females |
Religious communities - Jain - Females | integer | 0% | 4 | 2173656, 437232, 1736424, 3 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Persons |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Persons | integer | 0% | 4 | 7937734, 7199007, 738727, 0 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Males |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Males | integer | 0% | 4 | 3952064, 3583894, 368170, 0 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Females |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Females | integer | 0% | 4 | 3985670, 3615113, 370557, 0 |
| +6 more extension fields — download the CSV/Parquet to see them all. | |||||
IND CensusIndia - C16 Mother Tongue (admin_0)
— 477 rows, 22 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Mother / tongue |
Mother - tongue | integer | CCL | 0% | 100 | 001000, 001002, 001999, 002000, 002007 |
Mother tongue name |
Mother tongue name | string | CCL | 0% | 100 | 1 ASSAMESE, Assamese, 1 Others, 2 BENGALI, Bengali |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
region_name |
region_name | string | SEL | 0% | 1 | INDIA, INDIA, INDIA, INDIA, INDIA |
region_code |
region_code | string | SEL | 0% | 1 | 00-000-00000, 00-000-00000, 00-000-00000, 00-000-00000,... |
Extension Fields (16)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c16_mother_tongue, c16_mother_tongue, c16_mother_tongue,... |
study_id |
study_id | integer | 0% | 1 | 10191, 10191, 10191, 10191, 10191 |
Table / name |
Table - name | string | 0% | 1 | C0116, C0116, C0116, C0116, C0116 |
State / code |
State - code | integer | 0% | 1 | 00, 00, 00, 00, 00 |
District / code |
District - code | integer | 0% | 1 | 000, 000, 000, 000, 000 |
Sub- / district |
Sub- - district | integer | 0% | 1 | 00000, 00000, 00000, 00000, 00000 |
Area name |
Area name | string | 0% | 1 | INDIA, INDIA, INDIA, INDIA, INDIA |
Total / P |
Total - P | integer | 0% | 100 | 15311351, 14816414, 494937, 97237669, 96177835 |
Total / M |
Total - M | integer | 0% | 99 | 7810583, 7555350, 255233, 49798752, 49254753 |
Total / F |
Total - F | integer | 0% | 100 | 7500768, 7261064, 239704, 47438917, 46923082 |
Rural / P |
Rural - P | integer | 0% | 100 | 13144701, 12680101, 464600, 69914845, 68921285 |
Rural / M |
Rural - M | integer | 0% | 100 | 6697715, 6458345, 239370, 35866210, 35356084 |
Rural / F |
Rural - F | integer | 0% | 99 | 6446986, 6221756, 225230, 34048635, 33565201 |
Urban / P |
Urban - P | integer | 0% | 100 | 2166650, 2136313, 30337, 27322824, 27256550 |
Urban / M |
Urban - M | integer | 0% | 100 | 1112868, 1097005, 15863, 13932542, 13898669 |
Urban / F |
Urban - F | integer | 0% | 100 | 1053782, 1039308, 14474, 13390282, 13357881 |
IND CensusIndia - C17 Bilingualism (admin_0)
— 22,224 rows, 23 columns
Loading data…
Field details — 23 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total speakers of languages / Code |
Total speakers of languages - Code | integer | CCL | 0% | 1 | 001000, 001000, 001000, 001000, 001000 |
Total speakers of languages / Name |
Total speakers of languages - Name | string | CCL | 0% | 1 | ASSAMESE, ASSAMESE, ASSAMESE, ASSAMESE, ASSAMESE |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
region_name |
region_name | string | SEL | 0% | 1 | INDIA, INDIA, INDIA, INDIA, INDIA |
region_code |
region_code | integer | SEL | 0% | 1 | 00, 00, 00, 00, 00 |
Extension Fields (17)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c17_bilingualism, c17_bilingualism, c17_bilingualism,... |
study_id |
study_id | integer | 0% | 1 | 10262, 10262, 10262, 10262, 10262 |
State / Code |
State - Code | integer | 0% | 1 | 00, 00, 00, 00, 00 |
State name |
State name | string | 0% | 1 | INDIA, INDIA, INDIA, INDIA, INDIA |
Total speakers of languages / Persons |
Total speakers of languages - Persons | integer | 99% | 1 | 15311351 |
Total speakers of languages / Males |
Total speakers of languages - Males | integer | 99% | 1 | 7810583 |
Total speakers of languages / Females |
Total speakers of languages - Females | integer | 99% | 1 | 7500768 |
Number of speakers speaking subsidiary languages (1st language) / Code |
Number of speakers speaking subsidiary languages (1st language) - Code | integer | 96% | 4 | 002000, 003000, 005000, 006000 |
Number of speakers speaking subsidiary languages (1st language) / 1 st subsidiary languages |
Number of speakers speaking subsidiary languages (1st language) - 1 st subsidiary languages | string | 96% | 4 | BENGALI, BODO, GUJARATI, HINDI |
Number of speakers speaking subsidiary languages (1st language) / Persons |
Number of speakers speaking subsidiary languages (1st language) - Persons | integer | 96% | 4 | 2025303, 46019, 560, 2557685 |
Number of speakers speaking subsidiary languages (1st language) / Males |
Number of speakers speaking subsidiary languages (1st language) - Males | integer | 96% | 4 | 1042862, 23566, 331, 1542997 |
Number of speakers speaking subsidiary languages (1st language) / Females |
Number of speakers speaking subsidiary languages (1st language) - Females | integer | 96% | 4 | 982441, 22453, 229, 1014688 |
Number of speakers speaking subsidiary languages (2nd language) / Code |
Number of speakers speaking subsidiary languages (2nd language) - Code | integer | 5% | 53 | 003000, 005000, 006000, 007000, 011000 |
Number of speakers speaking subsidiary languages (2nd language) / 2nd subsidiary languages |
Number of speakers speaking subsidiary languages (2nd language) - 2nd subsidiary languages | string | 5% | 53 | BODO, GUJARATI, HINDI, KANNADA, MALAYALAM |
Number of speakers speaking subsidiary languages (2nd language) / Persons |
Number of speakers speaking subsidiary languages (2nd language) - Persons | integer | 5% | 56 | 883, 11, 245880, 2, 8 |
Number of speakers speaking subsidiary languages (2nd language) / Males |
Number of speakers speaking subsidiary languages (2nd language) - Males | integer | 5% | 49 | 521, 9, 153937, 1, 5 |
Number of speakers speaking subsidiary languages (2nd language) / Females |
Number of speakers speaking subsidiary languages (2nd language) - Females | integer | 5% | 47 | 362, 2, 91943, 1, 3 |
IND CensusIndia - Pca India States (admin_0)
— 3 rows, 100 columns
Loading data…
Field details — 100 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND |
Name |
Name | string | SEL | 0% | 1 | INDIA, INDIA, INDIA |
TOT_P |
Total population (Persons) | integer | SEL | 0% | 3 | 487803, 323120, 164683 |
P_LIT |
Literate population (Persons) | integer | SEL | 0% | 3 | 242761, 138965, 103796 |
P_ILL |
Illiterate population (Persons) | integer | SEL | 0% | 3 | 245042, 184155, 60887 |
TOT_WORK_P |
Total workers (Persons) | integer | SEL | 0% | 3 | 165895, 115288, 50607 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0 |
region_name |
region_name | string | SEL | 0% | 1 | INDIA, INDIA, INDIA |
region_code |
region_code | string | SEL | 0% | 1 | 00-00-000-0000-0000, 00-00-000-0000-0000, 00-00-000-0000-0000 |
No_HH |
No_HH | integer | SEL | 0% | 3 | 249501663, 168612897, 80888766 |
TOT_M |
Total population (Males) | integer | SEL | 0% | 3 | 623270258, 427781058, 195489200 |
TOT_F |
Total population (Females) | integer | SEL | 0% | 3 | 587584719, 405967794, 181616925 |
Extension Fields (88)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | pca_india_states, pca_india_states, pca_india_states |
study_id |
study_id | integer | 0% | 1 | 43477, 43477, 43477 |
State |
State | integer | 0% | 1 | 00, 00, 00 |
District |
District | integer | 0% | 1 | 00, 00, 00 |
Subdistt |
Subdistt | integer | 0% | 1 | 000, 000, 000 |
Town/Village |
Town/Village | integer | 0% | 1 | 0000, 0000, 0000 |
Ward |
Ward | integer | 0% | 1 | 0000, 0000, 0000 |
EB |
Enumeration block | integer | 0% | 1 | 000000, 000000, 000000 |
Level |
Level | string | 0% | 1 | INDIA, INDIA, INDIA |
TRU |
Area type (Total/Rural/Urban) | string | 0% | 3 | Total, Rural, Urban |
P_06 |
Population age 0-6 (Persons) | integer | 0% | 3 | 54854, 38612, 16242 |
P_SC |
Scheduled Caste population (Persons) | integer | 0% | 3 | 78811, 60593, 18218 |
P_ST |
Scheduled Tribe population (Persons) | integer | 0% | 3 | 33293, 29519, 3774 |
MAINWORK_P |
Main workers (Persons) | integer | 0% | 3 | 107147, 69825, 37322 |
MAIN_CL_P |
Main workers - Cultivators (Persons) | integer | 0% | 3 | 24252, 23388, 864 |
MAIN_AL_P |
Main workers - Agricultural labourers (Persons) | integer | 0% | 3 | 29109, 27033, 2076 |
MAIN_HH_P |
Main workers - Household industry workers (Persons) | integer | 0% | 3 | 5445, 3396, 2049 |
MAIN_OT_P |
Main workers - Other workers (Persons) | integer | 0% | 3 | 48341, 16008, 32333 |
MARGWORK_P |
Marginal workers (Persons) | integer | 0% | 3 | 58748, 45463, 13285 |
MARG_CL_P |
Marginal workers - Cultivators (Persons) | integer | 0% | 3 | 8943, 8549, 394 |
MARG_AL_P |
Marginal workers - Agricultural labourers (Persons) | integer | 0% | 3 | 25497, 24296, 1201 |
MARG_HH_P |
Marginal workers - Household industry workers (Persons) | integer | 0% | 3 | 4133, 3057, 1076 |
MARG_OT_P |
Marginal workers - Other workers (Persons) | integer | 0% | 3 | 20175, 9561, 10614 |
MARGWORK_3_6_P |
Marginal workers (3-6 months) (Persons) | integer | 0% | 3 | 47031, 35756, 11275 |
MARG_CL_3_6_P |
Marginal workers - Cultivators (3-6 months) (Persons) | integer | 0% | 3 | 6928, 6564, 364 |
MARG_AL_3_6_P |
Marginal workers - Agricultural labourers (3-6 months) (Persons) | integer | 0% | 3 | 20354, 19356, 998 |
MARG_HH_3_6_P |
Marginal workers - Household industry workers (3-6 months) (Persons) | integer | 0% | 3 | 2979, 2195, 784 |
MARG_OT_3_6_P |
Marginal workers - Other workers (3-6 months) (Persons) | integer | 0% | 3 | 16770, 7641, 9129 |
MARGWORK_0_3_P |
Marginal workers (0-3 months) (Persons) | integer | 0% | 3 | 11717, 9707, 2010 |
MARG_CL_0_3_P |
Marginal workers - Cultivators (0-3 months) (Persons) | integer | 0% | 3 | 2015, 1985, 30 |
| +58 more extension fields — download the CSV/Parquet to see them all. | |||||
IND CensusIndia - C08 Education (admin_0)
— 87 rows, 52 columns
Loading data…
Field details — 56 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total / Persons |
Total - Persons | integer | SEL | 0% | 87 | 1210854977, 164515253, 24826640, 26968373, 23424638 |
Total / Males |
Total - Males | integer | SEL | 0% | 87 | 623270258, 85752254, 12903364, 14061937, 12214985 |
Total / Females |
Total - Females | integer | SEL | 0% | 87 | 587584719, 78762999, 11923276, 12906436, 11209653 |
Illiterate / Persons |
Illiterate - Persons | integer | SEL | 0% | 87 | 447216165, 164515253, 6748214, 4131414, 2491904 |
Literate / Persons |
Literate - Persons | integer | SEL | 0% | 85 | 763638812, 0, 18078426, 22836959, 20932734 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_0, admin_0, admin_0, admin_0, admin_0 |
region_name |
region_name | string | SEL | 0% | 1 | INDIA, INDIA, INDIA, INDIA, INDIA |
region_code |
region_code | string | SEL | 0% | 1 | 00-000, 00-000, 00-000, 00-000, 00-000 |
pop_no_schooling |
Population with no schooling: illiterate + literate without level (derived) | integer | SEL | 0% | - | - |
pop_basic_education |
Population with basic education: below-primary + primary + middle (derived) | integer | SEL | 0% | - | - |
pop_upper_secondary |
Population with upper-secondary: matric + higher-secondary (derived) | integer | SEL | 0% | - | - |
pop_higher_education |
Population with higher education: diplomas + graduate & above (derived) | integer | SEL | 0% | - | - |
Extension Fields (43)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c08_education, c08_education, c08_education,... |
study_id |
study_id | integer | 0% | 1 | 44790, 44790, 44790, 44790, 44790 |
Table / Name |
Table - Name | string | 0% | 1 | C2308, C2308, C2308, C2308, C2308 |
State / Code |
State - Code | integer | 0% | 1 | 00, 00, 00, 00, 00 |
Distt. / Code |
Distt. - Code | integer | 0% | 1 | 000, 000, 000, 000, 000 |
Area Name |
Area Name | string | 0% | 1 | INDIA, INDIA, INDIA, INDIA, INDIA |
Total/ / Rural/ / Urban/ |
Total/ - Rural/ - Urban/ | string | 0% | 3 | Total, Total, Total, Total, Total |
C-8 EDUCATIONAL LEVEL BY AGE AND SEX FOR POPULATION AGE 7 AND ABOVE - 2011 / Age-group |
C-8 EDUCATIONAL LEVEL BY AGE AND SEX FOR POPULATION AGE 7 AND ABOVE - 2011 - Age-group | string | 0% | 29 | All ages, 0-6, 7, 8, 9 |
Illiterate / Males |
Illiterate - Males | integer | 0% | 87 | 188506636, 85752254, 3388683, 2013742, 1198339 |
Illiterate / Females |
Illiterate - Females | integer | 0% | 87 | 258709529, 78762999, 3359531, 2117672, 1293565 |
Literate / Males |
Literate - Males | integer | 0% | 85 | 434763622, 0, 9514681, 12048195, 11016646 |
Literate / Females |
Literate - Females | integer | 0% | 85 | 328875190, 0, 8563745, 10788764, 9916088 |
Educational level / Literate without / educational level / Persons |
Educational level - Literate without - educational level - Persons | integer | 0% | 85 | 35153231, 0, 424205, 351280, 291281 |
Educational level / Literate without / educational level / Males |
Educational level - Literate without - educational level - Males | integer | 0% | 85 | 19278416, 0, 248229, 202220, 167048 |
Educational level / Literate without / educational level / Females |
Educational level - Literate without - educational level - Females | integer | 0% | 85 | 15874815, 0, 175976, 149060, 124233 |
Educational level / Below / primary / Persons |
Educational level - Below - primary - Persons | integer | 0% | 85 | 146897597, 0, 17517756, 22389155, 18171490 |
Educational level / Below / primary / Males |
Educational level - Below - primary - Males | integer | 0% | 85 | 78445099, 0, 9190737, 11793414, 9579169 |
Educational level / Below / primary / Females |
Educational level - Below - primary - Females | integer | 0% | 85 | 68452498, 0, 8327019, 10595741, 8592321 |
Educational level / Primary / Persons |
Educational level - Primary - Persons | integer | 0% | 79 | 184170833, 0, 0, 0, 2399511 |
Educational level / Primary / Males |
Educational level - Primary - Males | integer | 0% | 79 | 99311072, 0, 0, 0, 1231973 |
Educational level / Primary / Females |
Educational level - Primary - Females | integer | 0% | 79 | 84859761, 0, 0, 0, 1167538 |
Educational level / Middle / Persons |
Educational level - Middle - Persons | integer | 0% | 70 | 133903266, 0, 0, 0, 0 |
Educational level / Middle / Males |
Educational level - Middle - Males | integer | 0% | 70 | 77629578, 0, 0, 0, 0 |
Educational level / Middle / Females |
Educational level - Middle - Females | integer | 0% | 70 | 56273688, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Persons |
Educational level - Matric/Secondary - Persons | integer | 0% | 61 | 105939743, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Males |
Educational level - Matric/Secondary - Males | integer | 0% | 61 | 63769834, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Females |
Educational level - Matric/Secondary - Females | integer | 0% | 61 | 42169909, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Persons |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Persons | integer | 0% | 52 | 77942593, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Males |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Males | integer | 0% | 52 | 46481321, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Females |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Females | integer | 0% | 52 | 31461272, 0, 0, 0, 0 |
| +13 more extension fields — download the CSV/Parquet to see them all. | |||||
1
Admin 1
— 5 table(s)
IND CensusIndia - C01 Religion (admin_1)
— 108 rows, 43 columns
Loading data…
Field details — 43 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total / Persons |
Total - Persons | integer | SEL | 0% | 100 | 380581, 237093, 143488, 84580777, 56361702 |
Total / Males |
Total - Males | integer | SEL | 0% | 100 | 202871, 126287, 76584, 42442146, 28243241 |
Total / Females |
Total - Females | integer | SEL | 0% | 100 | 177710, 110806, 66904, 42138631, 28118461 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
region_name |
region_name | string | SEL | 0% | 34 | State - ANDAMAN & NICOBAR ISLANDS, State - ANDAMAN &... |
region_code |
region_code | string | SEL | 0% | 34 | 35-000-00000-000000, 35-000-00000-000000,... |
Extension Fields (36)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c01_religion, c01_religion, c01_religion, c01_religion,... |
study_id |
study_id | integer | 0% | 14 | 11362, 11362, 11362, 11363, 11363 |
Table / Name |
Table - Name | string | 0% | 1 | C0101, C0101, C0101, C0101, C0101 |
State / Code |
State - Code | integer | 0% | 34 | 35, 35, 35, 28, 28 |
Distt. / Code |
Distt. - Code | integer | 0% | 1 | 000, 000, 000, 000, 000 |
Tehsil / Code |
Tehsil - Code | integer | 0% | 1 | 00000, 00000, 00000, 00000, 00000 |
Town / Code |
Town - Code | integer | 0% | 1 | 000000, 000000, 000000, 000000, 000000 |
Area Name |
Area Name | string | 0% | 34 | State - ANDAMAN & NICOBAR ISLANDS, State - ANDAMAN &... |
Total/ / Rural/ / Urban |
Total/ - Rural/ - Urban | string | 0% | 3 | Total, Rural, Urban, Total, Rural |
Religious communities / Hindu / Persons |
Religious communities - Hindu - Persons | integer | 0% | 100 | 264296, 157268, 107028, 74824149, 52793521 |
Religious communities / Hindu / Males |
Religious communities - Hindu - Males | integer | 0% | 100 | 142277, 84639, 57638, 37537084, 26461972 |
Religious communities / Hindu / Females |
Religious communities - Hindu - Females | integer | 0% | 100 | 122019, 72629, 49390, 37287065, 26331549 |
Religious communities / Muslim / Persons |
Religious communities - Muslim - Persons | integer | 0% | 100 | 32413, 15124, 17289, 8082412, 2839300 |
Religious communities / Muslim / Males |
Religious communities - Muslim - Males | integer | 0% | 100 | 17301, 7979, 9322, 4085913, 1424322 |
Religious communities / Muslim / Females |
Religious communities - Muslim - Females | integer | 0% | 100 | 15112, 7145, 7967, 3996499, 1414978 |
Religious communities / Christian / Persons |
Religious communities - Christian - Persons | integer | 0% | 100 | 80984, 62785, 18199, 1129784, 502264 |
Religious communities / Christian / Males |
Religious communities - Christian - Males | integer | 0% | 100 | 41747, 32639, 9108, 548753, 244039 |
Religious communities / Christian / Females |
Religious communities - Christian - Females | integer | 0% | 99 | 39237, 30146, 9091, 581031, 258225 |
Religious communities / Sikh / Persons |
Religious communities - Sikh - Persons | integer | 0% | 98 | 1286, 644, 642, 40244, 7915 |
Religious communities / Sikh / Males |
Religious communities - Sikh - Males | integer | 0% | 99 | 701, 355, 346, 21534, 4329 |
Religious communities / Sikh / Females |
Religious communities - Sikh - Females | integer | 0% | 99 | 585, 289, 296, 18710, 3586 |
Religious communities / Buddhist / Persons |
Religious communities - Buddhist - Persons | integer | 0% | 99 | 338, 262, 76, 36692, 23554 |
Religious communities / Buddhist / Males |
Religious communities - Buddhist - Males | integer | 0% | 99 | 188, 149, 39, 18812, 11976 |
Religious communities / Buddhist / Females |
Religious communities - Buddhist - Females | integer | 0% | 99 | 150, 113, 37, 17880, 11578 |
Religious communities / Jain / Persons |
Religious communities - Jain - Persons | integer | 0% | 99 | 31, 14, 17, 53849, 5164 |
Religious communities / Jain / Males |
Religious communities - Jain - Males | integer | 0% | 99 | 14, 8, 6, 27473, 2564 |
Religious communities / Jain / Females |
Religious communities - Jain - Females | integer | 0% | 98 | 17, 6, 11, 26376, 2600 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Persons |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Persons | integer | 0% | 99 | 564, 443, 121, 9547, 3710 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Males |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Males | integer | 0% | 95 | 317, 250, 67, 4815, 1836 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Females |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Females | integer | 0% | 98 | 247, 193, 54, 4732, 1874 |
| +6 more extension fields — download the CSV/Parquet to see them all. | |||||
IND CensusIndia - C16 Mother Tongue (admin_1)
— 9,856 rows, 22 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Mother / tongue |
Mother - tongue | integer | CCL | 0% | 100 | 001000, 001002, 001999, 002000, 002007 |
Mother tongue name |
Mother tongue name | string | CCL | 0% | 100 | 1 ASSAMESE, Assamese, 1 Others, 2 BENGALI, Bengali |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
region_name |
region_name | string | SEL | 0% | 1 | ANDAMAN & NICOBAR ISLANDS, ANDAMAN & NICOBAR ISLANDS,... |
region_code |
region_code | string | SEL | 0% | 1 | 35-000-00000, 35-000-00000, 35-000-00000, 35-000-00000,... |
Extension Fields (16)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c16_mother_tongue, c16_mother_tongue, c16_mother_tongue,... |
study_id |
study_id | integer | 0% | 1 | 10192, 10192, 10192, 10192, 10192 |
Table / name |
Table - name | string | 0% | 1 | C0116, C0116, C0116, C0116, C0116 |
State / code |
State - code | integer | 0% | 1 | 35, 35, 35, 35, 35 |
District / code |
District - code | integer | 0% | 1 | 000, 000, 000, 000, 000 |
Sub- / district |
Sub- - district | integer | 0% | 1 | 00000, 00000, 00000, 00000, 00000 |
Area name |
Area name | string | 0% | 1 | ANDAMAN & NICOBAR ISLANDS, ANDAMAN & NICOBAR ISLANDS,... |
Total / P |
Total - P | integer | 0% | 58 | 115, 114, 1, 108432, 108431 |
Total / M |
Total - M | integer | 0% | 57 | 80, 79, 1, 58748, 58747 |
Total / F |
Total - F | integer | 0% | 46 | 35, 35, 0, 49684, 49684 |
Rural / P |
Rural - P | integer | 0% | 47 | 34, 34, 0, 89825, 89824 |
Rural / M |
Rural - M | integer | 0% | 48 | 29, 29, 0, 47695, 47694 |
Rural / F |
Rural - F | integer | 0% | 34 | 5, 5, 0, 42130, 42130 |
Urban / P |
Urban - P | integer | 0% | 49 | 81, 80, 1, 18607, 18607 |
Urban / M |
Urban - M | integer | 0% | 46 | 51, 50, 1, 11053, 11053 |
Urban / F |
Urban - F | integer | 0% | 41 | 30, 30, 0, 7554, 7554 |
IND CensusIndia - C17 Bilingualism (admin_1)
— 75,964 rows, 23 columns
Loading data…
Field details — 23 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total speakers of languages / Code |
Total speakers of languages - Code | integer | CCL | 0% | 5 | 001000, 001000, 001000, 001000, 001000 |
Total speakers of languages / Name |
Total speakers of languages - Name | string | CCL | 0% | 5 | ASSAMESE, ASSAMESE, ASSAMESE, ASSAMESE, ASSAMESE |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
region_name |
region_name | string | SEL | 0% | 1 | ANDAMAN & NICOBAR ISLANDS, ANDAMAN & NICOBAR ISLANDS,... |
region_code |
region_code | integer | SEL | 0% | 1 | 35, 35, 35, 35, 35 |
Extension Fields (17)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c17_bilingualism, c17_bilingualism, c17_bilingualism,... |
study_id |
study_id | integer | 0% | 1 | 10297, 10297, 10297, 10297, 10297 |
State / code |
State - code | integer | 0% | 1 | 35, 35, 35, 35, 35 |
State name |
State name | string | 0% | 1 | ANDAMAN & NICOBAR ISLANDS, ANDAMAN & NICOBAR ISLANDS,... |
Total speakers of languages / Persons |
Total speakers of languages - Persons | integer | 95% | 5 | 115, 108432, 5, 67, 241 |
Total speakers of languages / Males |
Total speakers of languages - Males | integer | 95% | 5 | 80, 58748, 5, 53, 155 |
Total speakers of languages / Females |
Total speakers of languages - Females | integer | 95% | 5 | 35, 49684, 0, 14, 86 |
Number of speakers speaking subsidiary languages (1st language) / Code |
Number of speakers speaking subsidiary languages (1st language) - Code | integer | 73% | 16 | 002000, 006000, 040000, 001000, 005000 |
Number of speakers speaking subsidiary languages (1st language) / 1 st subsidiary languages |
Number of speakers speaking subsidiary languages (1st language) - 1 st subsidiary languages | string | 73% | 16 | BENGALI, HINDI, ENGLISH, ASSAMESE, GUJARATI |
Number of speakers speaking subsidiary languages (1st language) / Persons |
Number of speakers speaking subsidiary languages (1st language) - Persons | integer | 73% | 18 | 4, 83, 18, 21, 1 |
Number of speakers speaking subsidiary languages (1st language) / Males |
Number of speakers speaking subsidiary languages (1st language) - Males | integer | 73% | 17 | 4, 61, 10, 17, 1 |
Number of speakers speaking subsidiary languages (1st language) / Females |
Number of speakers speaking subsidiary languages (1st language) - Females | integer | 73% | 14 | 0, 22, 8, 4, 0 |
Number of speakers speaking subsidiary languages (2nd language) / Code |
Number of speakers speaking subsidiary languages (2nd language) - Code | integer | 32% | 23 | 006000, 040000, 002000, 014000, 040000 |
Number of speakers speaking subsidiary languages (2nd language) / 2nd subsidiary languages |
Number of speakers speaking subsidiary languages (2nd language) - 2nd subsidiary languages | string | 32% | 23 | HINDI, ENGLISH, BENGALI, NEPALI, ENGLISH |
Number of speakers speaking subsidiary languages (2nd language) / Persons |
Number of speakers speaking subsidiary languages (2nd language) - Persons | integer | 32% | 23 | 2, 2, 8, 1, 34 |
Number of speakers speaking subsidiary languages (2nd language) / Males |
Number of speakers speaking subsidiary languages (2nd language) - Males | integer | 32% | 21 | 2, 2, 6, 1, 28 |
Number of speakers speaking subsidiary languages (2nd language) / Females |
Number of speakers speaking subsidiary languages (2nd language) - Females | integer | 32% | 14 | 0, 0, 2, 0, 6 |
IND CensusIndia - Pca India States (admin_1)
— 105 rows, 100 columns
Loading data…
Field details — 100 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Name |
Name | string | SEL | 0% | 34 | JAMMU & KASHMIR, JAMMU & KASHMIR, JAMMU & KASHMIR,... |
TOT_P |
Total population (Persons) | integer | SEL | 0% | 97 | 4137, 2578, 1559, 2051, 1818 |
P_LIT |
Literate population (Persons) | integer | SEL | 0% | 97 | 1799, 903, 896, 1178, 1012 |
P_ILL |
Illiterate population (Persons) | integer | SEL | 0% | 98 | 2338, 1675, 663, 873, 806 |
TOT_WORK_P |
Total workers (Persons) | integer | SEL | 0% | 92 | 1377, 788, 589, 1012, 919 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
region_name |
region_name | string | SEL | 0% | 34 | JAMMU & KASHMIR, JAMMU & KASHMIR, JAMMU & KASHMIR,... |
region_code |
region_code | string | SEL | 0% | 34 | 01-00-000-0000-0000, 01-00-000-0000-0000,... |
No_HH |
No_HH | integer | SEL | 0% | 100 | 2119718, 1553433, 566285, 1483280, 1312510 |
TOT_M |
Total population (Males) | integer | SEL | 0% | 100 | 6640662, 4774477, 1866185, 3481873, 3110345 |
TOT_F |
Total population (Females) | integer | SEL | 0% | 100 | 5900640, 4333583, 1567057, 3382729, 3065705 |
Extension Fields (88)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | pca_india_states, pca_india_states, pca_india_states,... |
study_id |
study_id | integer | 0% | 1 | 43477, 43477, 43477, 43477, 43477 |
State |
State | integer | 0% | 34 | 01, 01, 01, 02, 02 |
District |
District | integer | 0% | 1 | 00, 00, 00, 00, 00 |
Subdistt |
Subdistt | integer | 0% | 1 | 000, 000, 000, 000, 000 |
Town/Village |
Town/Village | integer | 0% | 1 | 0000, 0000, 0000, 0000, 0000 |
Ward |
Ward | integer | 0% | 1 | 0000, 0000, 0000, 0000, 0000 |
EB |
Enumeration block | integer | 0% | 1 | 000000, 000000, 000000, 000000, 000000 |
Level |
Level | string | 0% | 1 | STATE, STATE, STATE, STATE, STATE |
TRU |
Area type (Total/Rural/Urban) | string | 0% | 3 | Total, Rural, Urban, Total, Rural |
P_06 |
Population age 0-6 (Persons) | integer | 0% | 86 | 487, 327, 160, 154, 133 |
P_SC |
Scheduled Caste population (Persons) | integer | 0% | 78 | 207, 152, 55, 433, 408 |
P_ST |
Scheduled Tribe population (Persons) | integer | 0% | 79 | 385, 354, 31, 118, 116 |
MAINWORK_P |
Main workers (Persons) | integer | 0% | 92 | 786, 359, 427, 501, 429 |
MAIN_CL_P |
Main workers - Cultivators (Persons) | integer | 0% | 72 | 130, 119, 11, 262, 261 |
MAIN_AL_P |
Main workers - Agricultural labourers (Persons) | integer | 0% | 67 | 44, 34, 10, 17, 17 |
MAIN_HH_P |
Main workers - Household industry workers (Persons) | integer | 0% | 54 | 27, 22, 5, 12, 10 |
MAIN_OT_P |
Main workers - Other workers (Persons) | integer | 0% | 91 | 585, 184, 401, 210, 141 |
MARGWORK_P |
Marginal workers (Persons) | integer | 0% | 85 | 591, 429, 162, 511, 490 |
MARG_CL_P |
Marginal workers - Cultivators (Persons) | integer | 0% | 58 | 180, 164, 16, 393, 393 |
MARG_AL_P |
Marginal workers - Agricultural labourers (Persons) | integer | 0% | 68 | 132, 119, 13, 31, 31 |
MARG_HH_P |
Marginal workers - Household industry workers (Persons) | integer | 0% | 55 | 50, 35, 15, 10, 10 |
MARG_OT_P |
Marginal workers - Other workers (Persons) | integer | 0% | 75 | 229, 111, 118, 77, 56 |
MARGWORK_3_6_P |
Marginal workers (3-6 months) (Persons) | integer | 0% | 84 | 419, 291, 128, 337, 322 |
MARG_CL_3_6_P |
Marginal workers - Cultivators (3-6 months) (Persons) | integer | 0% | 55 | 104, 93, 11, 265, 265 |
MARG_AL_3_6_P |
Marginal workers - Agricultural labourers (3-6 months) (Persons) | integer | 0% | 67 | 94, 84, 10, 13, 13 |
MARG_HH_3_6_P |
Marginal workers - Household industry workers (3-6 months) (Persons) | integer | 0% | 50 | 37, 24, 13, 6, 6 |
MARG_OT_3_6_P |
Marginal workers - Other workers (3-6 months) (Persons) | integer | 0% | 76 | 184, 90, 94, 53, 38 |
MARGWORK_0_3_P |
Marginal workers (0-3 months) (Persons) | integer | 0% | 70 | 172, 138, 34, 174, 168 |
MARG_CL_0_3_P |
Marginal workers - Cultivators (0-3 months) (Persons) | integer | 0% | 37 | 76, 71, 5, 128, 128 |
| +58 more extension fields — download the CSV/Parquet to see them all. | |||||
IND CensusIndia - C08 Education (admin_1)
— 6,090 rows, 51 columns
Loading data…
Field details — 55 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total / Persons |
Total - Persons | integer | SEL | 0% | 100 | 380581, 40878, 6218, 5940, 6172 |
Total / Males |
Total - Males | integer | SEL | 0% | 99 | 202871, 20770, 3208, 3072, 3103 |
Total / Females |
Total - Females | integer | SEL | 0% | 99 | 177710, 20108, 3010, 2868, 3069 |
Illiterate / Persons |
Illiterate - Persons | integer | SEL | 0% | 95 | 86300, 40878, 1026, 304, 289 |
Literate / Persons |
Literate - Persons | integer | SEL | 0% | 97 | 294281, 0, 5192, 5636, 5883 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
region_name |
region_name | string | SEL | 0% | 2 | State - ANDAMAN & NICOBAR ISLANDS, State - ANDAMAN &... |
region_code |
region_code | string | SEL | 0% | 2 | 35-000, 35-000, 35-000, 35-000, 35-000 |
pop_no_schooling |
Population with no schooling: illiterate + literate without level (derived) | integer | SEL | 0% | - | - |
pop_basic_education |
Population with basic education: below-primary + primary + middle (derived) | integer | SEL | 0% | - | - |
pop_upper_secondary |
Population with upper-secondary: matric + higher-secondary (derived) | integer | SEL | 0% | - | - |
pop_higher_education |
Population with higher education: diplomas + graduate & above (derived) | integer | SEL | 0% | - | - |
Extension Fields (42)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c08_education, c08_education, c08_education,... |
study_id |
study_id | integer | 0% | 2 | 44791, 44791, 44791, 44791, 44791 |
Table / Name |
Table - Name | string | 0% | 1 | C2308, C2308, C2308, C2308, C2308 |
State / Code |
State - Code | integer | 0% | 2 | 35, 35, 35, 35, 35 |
Distt. / Code |
Distt. - Code | integer | 0% | 1 | 000, 000, 000, 000, 000 |
Area Name |
Area Name | string | 0% | 2 | State - ANDAMAN & NICOBAR ISLANDS, State - ANDAMAN &... |
Total/ / Rural/ / Urban/ |
Total/ - Rural/ - Urban/ | string | 0% | 3 | Total, Total, Total, Total, Total |
C-8 EDUCATIONAL LEVEL BY AGE AND SEX FOR POPULATION AGE 7 AND ABOVE - 2011 / Age-group |
C-8 EDUCATIONAL LEVEL BY AGE AND SEX FOR POPULATION AGE 7 AND ABOVE - 2011 - Age-group | string | 0% | 29 | All ages, 0-6, 7, 8, 9 |
Illiterate / Males |
Illiterate - Males | integer | 0% | 93 | 38494, 20770, 545, 158, 136 |
Illiterate / Females |
Illiterate - Females | integer | 0% | 94 | 47806, 20108, 481, 146, 153 |
Literate / Males |
Literate - Males | integer | 0% | 97 | 164377, 0, 2663, 2914, 2967 |
Literate / Females |
Literate - Females | integer | 0% | 95 | 129904, 0, 2529, 2722, 2916 |
Educational level / Literate without / educational level / Persons |
Educational level - Literate without - educational level - Persons | integer | 0% | 82 | 5902, 0, 47, 22, 22 |
Educational level / Literate without / educational level / Males |
Educational level - Literate without - educational level - Males | integer | 0% | 72 | 3041, 0, 26, 15, 13 |
Educational level / Literate without / educational level / Females |
Educational level - Literate without - educational level - Females | integer | 0% | 69 | 2861, 0, 21, 7, 9 |
Educational level / Below / primary / Persons |
Educational level - Below - primary - Persons | integer | 0% | 95 | 42129, 0, 5089, 5592, 5275 |
Educational level / Below / primary / Males |
Educational level - Below - primary - Males | integer | 0% | 92 | 22513, 0, 2606, 2888, 2645 |
Educational level / Below / primary / Females |
Educational level - Below - primary - Females | integer | 0% | 89 | 19616, 0, 2483, 2704, 2630 |
Educational level / Primary / Persons |
Educational level - Primary - Persons | integer | 0% | 87 | 68415, 0, 0, 0, 573 |
Educational level / Primary / Males |
Educational level - Primary - Males | integer | 0% | 88 | 37920, 0, 0, 0, 302 |
Educational level / Primary / Females |
Educational level - Primary - Females | integer | 0% | 89 | 30495, 0, 0, 0, 271 |
Educational level / Middle / Persons |
Educational level - Middle - Persons | integer | 0% | 77 | 68620, 0, 0, 0, 0 |
Educational level / Middle / Males |
Educational level - Middle - Males | integer | 0% | 77 | 39337, 0, 0, 0, 0 |
Educational level / Middle / Females |
Educational level - Middle - Females | integer | 0% | 75 | 29283, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Persons |
Educational level - Matric/Secondary - Persons | integer | 0% | 65 | 45104, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Males |
Educational level - Matric/Secondary - Males | integer | 0% | 63 | 26053, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Females |
Educational level - Matric/Secondary - Females | integer | 0% | 65 | 19051, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Persons |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Persons | integer | 0% | 52 | 33531, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Males |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Males | integer | 0% | 49 | 18299, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Females |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Females | integer | 0% | 49 | 15232, 0, 0, 0, 0 |
| +12 more extension fields — download the CSV/Parquet to see them all. | |||||
2
Admin 2
— 4 table(s)
IND CensusIndia - C01 Religion (admin_2)
— 1,920 rows, 43 columns
Loading data…
Field details — 43 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total / Persons |
Total - Persons | integer | SEL | 0% | 97 | 36842, 36842, 0, 105597, 102856 |
Total / Males |
Total - Males | integer | SEL | 0% | 97 | 20727, 20727, 0, 54861, 53457 |
Total / Females |
Total - Females | integer | SEL | 0% | 97 | 16115, 16115, 0, 50736, 49399 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
region_name |
region_name | string | SEL | 0% | 34 | District - Nicobars, District - Nicobars, District -... |
region_code |
region_code | string | SEL | 0% | 34 | 35-638-00000-000000, 35-638-00000-000000,... |
Extension Fields (36)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c01_religion, c01_religion, c01_religion, c01_religion,... |
study_id |
study_id | integer | 0% | 3 | 11362, 11362, 11362, 11362, 11362 |
Table / Name |
Table - Name | string | 0% | 1 | C0101, C0101, C0101, C0101, C0101 |
State / Code |
State - Code | integer | 0% | 3 | 35, 35, 35, 35, 35 |
Distt. / Code |
Distt. - Code | integer | 0% | 34 | 638, 638, 638, 639, 639 |
Tehsil / Code |
Tehsil - Code | integer | 0% | 1 | 00000, 00000, 00000, 00000, 00000 |
Town / Code |
Town - Code | integer | 0% | 1 | 000000, 000000, 000000, 000000, 000000 |
Area Name |
Area Name | string | 0% | 34 | District - Nicobars, District - Nicobars, District -... |
Total/ / Rural/ / Urban |
Total/ - Rural/ - Urban | string | 0% | 3 | Total, Rural, Urban, Total, Rural |
Religious communities / Hindu / Persons |
Religious communities - Hindu - Persons | integer | 0% | 97 | 8681, 8681, 0, 81163, 79131 |
Religious communities / Hindu / Males |
Religious communities - Hindu - Males | integer | 0% | 97 | 5894, 5894, 0, 42260, 41213 |
Religious communities / Hindu / Females |
Religious communities - Hindu - Females | integer | 0% | 97 | 2787, 2787, 0, 38903, 37918 |
Religious communities / Muslim / Persons |
Religious communities - Muslim - Persons | integer | 0% | 97 | 1336, 1336, 0, 2165, 2131 |
Religious communities / Muslim / Males |
Religious communities - Muslim - Males | integer | 0% | 97 | 789, 789, 0, 1186, 1168 |
Religious communities / Muslim / Females |
Religious communities - Muslim - Females | integer | 0% | 97 | 547, 547, 0, 979, 963 |
Religious communities / Christian / Persons |
Religious communities - Christian - Persons | integer | 0% | 97 | 26077, 26077, 0, 21870, 21210 |
Religious communities / Christian / Males |
Religious communities - Christian - Males | integer | 0% | 96 | 13618, 13618, 0, 11195, 10867 |
Religious communities / Christian / Females |
Religious communities - Christian - Females | integer | 0% | 97 | 12459, 12459, 0, 10675, 10343 |
Religious communities / Sikh / Persons |
Religious communities - Sikh - Persons | integer | 0% | 95 | 343, 343, 0, 77, 72 |
Religious communities / Sikh / Males |
Religious communities - Sikh - Males | integer | 0% | 91 | 192, 192, 0, 42, 39 |
Religious communities / Sikh / Females |
Religious communities - Sikh - Females | integer | 0% | 84 | 151, 151, 0, 35, 33 |
Religious communities / Buddhist / Persons |
Religious communities - Buddhist - Persons | integer | 0% | 92 | 119, 119, 0, 84, 79 |
Religious communities / Buddhist / Males |
Religious communities - Buddhist - Males | integer | 0% | 85 | 69, 69, 0, 53, 49 |
Religious communities / Buddhist / Females |
Religious communities - Buddhist - Females | integer | 0% | 86 | 50, 50, 0, 31, 30 |
Religious communities / Jain / Persons |
Religious communities - Jain - Persons | integer | 0% | 90 | 0, 0, 0, 4, 4 |
Religious communities / Jain / Males |
Religious communities - Jain - Males | integer | 0% | 82 | 0, 0, 0, 3, 3 |
Religious communities / Jain / Females |
Religious communities - Jain - Females | integer | 0% | 77 | 0, 0, 0, 1, 1 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Persons |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Persons | integer | 0% | 88 | 248, 248, 0, 47, 43 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Males |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Males | integer | 0% | 85 | 149, 149, 0, 21, 18 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Females |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Females | integer | 0% | 82 | 99, 99, 0, 26, 25 |
| +6 more extension fields — download the CSV/Parquet to see them all. | |||||
IND CensusIndia - C16 Mother Tongue (admin_2)
— 72,047 rows, 22 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Mother / tongue |
Mother - tongue | integer | CCL | 0% | 85 | 001000, 001002, 002000, 002007, 002999 |
Mother tongue name |
Mother tongue name | string | CCL | 0% | 85 | 1 ASSAMESE, Assamese, 2 BENGALI, Bengali, 2 Others |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
region_name |
region_name | string | SEL | 0% | 2 | Nicobars, Nicobars, Nicobars, Nicobars, Nicobars |
region_code |
region_code | string | SEL | 0% | 2 | 35-638-00000, 35-638-00000, 35-638-00000, 35-638-00000,... |
Extension Fields (16)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c16_mother_tongue, c16_mother_tongue, c16_mother_tongue,... |
study_id |
study_id | integer | 0% | 1 | 10192, 10192, 10192, 10192, 10192 |
Table / name |
Table - name | string | 0% | 1 | C0116, C0116, C0116, C0116, C0116 |
State / code |
State - code | integer | 0% | 1 | 35, 35, 35, 35, 35 |
District / code |
District - code | integer | 0% | 2 | 638, 638, 638, 638, 638 |
Sub- / district |
Sub- - district | integer | 0% | 1 | 00000, 00000, 00000, 00000, 00000 |
Area name |
Area name | string | 0% | 2 | Nicobars, Nicobars, Nicobars, Nicobars, Nicobars |
Total / P |
Total - P | integer | 0% | 47 | 18, 18, 1438, 1437, 1 |
Total / M |
Total - M | integer | 0% | 46 | 16, 16, 1196, 1195, 1 |
Total / F |
Total - F | integer | 0% | 30 | 2, 2, 242, 242, 0 |
Rural / P |
Rural - P | integer | 0% | 47 | 18, 18, 1438, 1437, 1 |
Rural / M |
Rural - M | integer | 0% | 45 | 16, 16, 1196, 1195, 1 |
Rural / F |
Rural - F | integer | 0% | 30 | 2, 2, 242, 242, 0 |
Urban / P |
Urban - P | integer | 0% | 4 | 0, 0, 0, 0, 0 |
Urban / M |
Urban - M | integer | 0% | 4 | 0, 0, 0, 0, 0 |
Urban / F |
Urban - F | integer | 0% | 4 | 0, 0, 0, 0, 0 |
IND CensusIndia - Pca India States (admin_2)
— 1,920 rows, 100 columns
Loading data…
Field details — 100 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Name |
Name | string | SEL | 0% | 34 | Kupwara, Kupwara, Kupwara, Badgam, Badgam |
No_HH |
No_HH | integer | SEL | 0% | 99 | 113929, 101930, 11999, 103363, 89417 |
TOT_P |
Total population (Persons) | integer | SEL | 0% | 99 | 870354, 765625, 104729, 753745, 655833 |
TOT_M |
Total population (Males) | integer | SEL | 0% | 99 | 474190, 412038, 62152, 398041, 343385 |
TOT_F |
Total population (Females) | integer | SEL | 0% | 99 | 396164, 353587, 42577, 355704, 312448 |
P_LIT |
Literate population (Persons) | integer | SEL | 0% | 99 | 439654, 374998, 64656, 335649, 278265 |
P_ILL |
Illiterate population (Persons) | integer | SEL | 0% | 99 | 430700, 390627, 40073, 418096, 377568 |
TOT_WORK_P |
Total workers (Persons) | integer | SEL | 0% | 99 | 229064, 195993, 33071, 214866, 181768 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
region_name |
region_name | string | SEL | 0% | 34 | Kupwara, Kupwara, Kupwara, Badgam, Badgam |
region_code |
region_code | string | SEL | 0% | 34 | 01-001-00000-000000-0000, 01-001-00000-000000-0000,... |
Extension Fields (88)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | pca_india_states, pca_india_states, pca_india_states,... |
study_id |
study_id | integer | 0% | 1 | 6191, 6191, 6191, 6191, 6191 |
State |
State | integer | 0% | 2 | 01, 01, 01, 01, 01 |
District |
District | integer | 0% | 34 | 001, 001, 001, 002, 002 |
Subdistt |
Subdistt | integer | 0% | 1 | 00000, 00000, 00000, 00000, 00000 |
Town/Village |
Town/Village | integer | 0% | 1 | 000000, 000000, 000000, 000000, 000000 |
Ward |
Ward | integer | 0% | 1 | 0000, 0000, 0000, 0000, 0000 |
EB |
Enumeration block | integer | 0% | 1 | 000000, 000000, 000000, 000000, 000000 |
Level |
Level | string | 0% | 1 | DISTRICT, DISTRICT, DISTRICT, DISTRICT, DISTRICT |
TRU |
Area type (Total/Rural/Urban) | string | 0% | 3 | Total, Rural, Urban, Total, Rural |
P_06 |
Population age 0-6 (Persons) | integer | 0% | 99 | 188798, 169588, 19210, 155202, 140608 |
M_06 |
Population age 0-6 (Males) | integer | 0% | 98 | 100459, 90235, 10224, 84720, 76753 |
F_06 |
Population age 0-6 (Females) | integer | 0% | 99 | 88339, 79353, 8986, 70482, 63855 |
P_SC |
Scheduled Caste population (Persons) | integer | 0% | 94 | 1048, 872, 176, 368, 86 |
M_SC |
Scheduled Caste population (Males) | integer | 0% | 95 | 1046, 870, 176, 343, 78 |
F_SC |
Scheduled Caste population (Females) | integer | 0% | 78 | 2, 2, 0, 25, 8 |
P_ST |
Scheduled Tribe population (Persons) | integer | 0% | 99 | 70352, 68491, 1861, 23912, 23293 |
M_ST |
Scheduled Tribe population (Males) | integer | 0% | 99 | 36913, 35855, 1058, 12383, 12025 |
F_ST |
Scheduled Tribe population (Females) | integer | 0% | 99 | 33439, 32636, 803, 11529, 11268 |
M_LIT |
Literate population (Males) | integer | 0% | 99 | 282823, 238785, 44038, 207741, 170641 |
F_LIT |
Literate population (Females) | integer | 0% | 99 | 156831, 136213, 20618, 127908, 107624 |
M_ILL |
Illiterate population (Males) | integer | 0% | 99 | 191367, 173253, 18114, 190300, 172744 |
F_ILL |
Illiterate population (Females) | integer | 0% | 99 | 239333, 217374, 21959, 227796, 204824 |
TOT_WORK_M |
Total workers (Males) | integer | 0% | 99 | 190899, 161992, 28907, 162578, 134569 |
TOT_WORK_F |
Total workers (Females) | integer | 0% | 99 | 38165, 34001, 4164, 52288, 47199 |
MAINWORK_P |
Main workers (Persons) | integer | 0% | 99 | 123837, 99611, 24226, 132003, 106388 |
MAINWORK_M |
Main workers (Males) | integer | 0% | 99 | 111713, 89519, 22194, 116865, 93558 |
MAINWORK_F |
Main workers (Females) | integer | 0% | 99 | 12124, 10092, 2032, 15138, 12830 |
MAIN_CL_P |
Main workers - Cultivators (Persons) | integer | 0% | 98 | 14585, 14098, 487, 34173, 32572 |
MAIN_CL_M |
Main workers - Cultivators (Males) | integer | 0% | 99 | 12171, 11709, 462, 31582, 30159 |
| +58 more extension fields — download the CSV/Parquet to see them all. | |||||
IND CensusIndia - C08 Education (admin_2)
— 55,680 rows, 51 columns
Loading data…
Field details — 55 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total / Persons |
Total - Persons | integer | SEL | 0% | 42 | 36842, 4389, 523, 430, 463 |
Total / Males |
Total - Males | integer | SEL | 0% | 41 | 20727, 2256, 284, 207, 241 |
Total / Females |
Total - Females | integer | SEL | 0% | 42 | 16115, 2133, 239, 223, 222 |
Illiterate / Persons |
Illiterate - Persons | integer | SEL | 0% | 41 | 11510, 4389, 119, 51, 47 |
Literate / Persons |
Literate - Persons | integer | SEL | 0% | 41 | 25332, 0, 404, 379, 416 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
region_name |
region_name | string | SEL | 0% | 2 | District - Nicobars, District - Nicobars, District -... |
region_code |
region_code | string | SEL | 0% | 2 | 35-638, 35-638, 35-638, 35-638, 35-638 |
pop_no_schooling |
Population with no schooling: illiterate + literate without level (derived) | integer | SEL | 0% | - | - |
pop_basic_education |
Population with basic education: below-primary + primary + middle (derived) | integer | SEL | 0% | - | - |
pop_upper_secondary |
Population with upper-secondary: matric + higher-secondary (derived) | integer | SEL | 0% | - | - |
pop_higher_education |
Population with higher education: diplomas + graduate & above (derived) | integer | SEL | 0% | - | - |
Extension Fields (42)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c08_education, c08_education, c08_education,... |
study_id |
study_id | integer | 0% | 1 | 44791, 44791, 44791, 44791, 44791 |
Table / Name |
Table - Name | string | 0% | 1 | C2308, C2308, C2308, C2308, C2308 |
State / Code |
State - Code | integer | 0% | 1 | 35, 35, 35, 35, 35 |
Distt. / Code |
Distt. - Code | integer | 0% | 2 | 638, 638, 638, 638, 638 |
Area Name |
Area Name | string | 0% | 2 | District - Nicobars, District - Nicobars, District -... |
Total/ / Rural/ / Urban/ |
Total/ - Rural/ - Urban/ | string | 0% | 3 | Total, Total, Total, Total, Total |
C-8 EDUCATIONAL LEVEL BY AGE AND SEX FOR POPULATION AGE 7 AND ABOVE - 2011 / Age-group |
C-8 EDUCATIONAL LEVEL BY AGE AND SEX FOR POPULATION AGE 7 AND ABOVE - 2011 - Age-group | string | 0% | 29 | All ages, 0-6, 7, 8, 9 |
Illiterate / Males |
Illiterate - Males | integer | 0% | 36 | 5330, 2256, 65, 29, 26 |
Illiterate / Females |
Illiterate - Females | integer | 0% | 37 | 6180, 2133, 54, 22, 21 |
Literate / Males |
Literate - Males | integer | 0% | 41 | 15397, 0, 219, 178, 215 |
Literate / Females |
Literate - Females | integer | 0% | 39 | 9935, 0, 185, 201, 201 |
Educational level / Literate without / educational level / Persons |
Educational level - Literate without - educational level - Persons | integer | 0% | 21 | 443, 0, 0, 0, 0 |
Educational level / Literate without / educational level / Males |
Educational level - Literate without - educational level - Males | integer | 0% | 19 | 302, 0, 0, 0, 0 |
Educational level / Literate without / educational level / Females |
Educational level - Literate without - educational level - Females | integer | 0% | 16 | 141, 0, 0, 0, 0 |
Educational level / Below / primary / Persons |
Educational level - Below - primary - Persons | integer | 0% | 39 | 3301, 0, 400, 376, 365 |
Educational level / Below / primary / Males |
Educational level - Below - primary - Males | integer | 0% | 36 | 1881, 0, 217, 177, 188 |
Educational level / Below / primary / Females |
Educational level - Below - primary - Females | integer | 0% | 31 | 1420, 0, 183, 199, 177 |
Educational level / Primary / Persons |
Educational level - Primary - Persons | integer | 0% | 37 | 6953, 0, 0, 0, 50 |
Educational level / Primary / Males |
Educational level - Primary - Males | integer | 0% | 37 | 4242, 0, 0, 0, 27 |
Educational level / Primary / Females |
Educational level - Primary - Females | integer | 0% | 37 | 2711, 0, 0, 0, 23 |
Educational level / Middle / Persons |
Educational level - Middle - Persons | integer | 0% | 31 | 6792, 0, 0, 0, 0 |
Educational level / Middle / Males |
Educational level - Middle - Males | integer | 0% | 31 | 4146, 0, 0, 0, 0 |
Educational level / Middle / Females |
Educational level - Middle - Females | integer | 0% | 30 | 2646, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Persons |
Educational level - Matric/Secondary - Persons | integer | 0% | 24 | 3865, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Males |
Educational level - Matric/Secondary - Males | integer | 0% | 24 | 2330, 0, 0, 0, 0 |
Educational level / Matric/Secondary / Females |
Educational level - Matric/Secondary - Females | integer | 0% | 24 | 1535, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Persons |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Persons | integer | 0% | 18 | 2483, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Males |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Males | integer | 0% | 18 | 1451, 0, 0, 0, 0 |
Educational level / Higher secondary/Intermediate / Pre-University/Senior secondary / Females |
Educational level - Higher secondary/Intermediate - Pre-University/Senior secondary - Females | integer | 0% | 16 | 1032, 0, 0, 0, 0 |
| +12 more extension fields — download the CSV/Parquet to see them all. | |||||
3
Admin 3
— 2 table(s)
IND CensusIndia - C01 Religion (admin_3)
— 17,967 rows, 43 columns
Loading data…
Field details — 43 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total / Persons |
Total - Persons | integer | SEL | 0% | 53 | 17841, 17841, 0, 10634, 10634 |
Total / Males |
Total - Males | integer | SEL | 0% | 53 | 9735, 9735, 0, 5967, 5967 |
Total / Females |
Total - Females | integer | SEL | 0% | 53 | 8106, 8106, 0, 4667, 4667 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
region_name |
region_name | string | SEL | 0% | 34 | Sub-District - Car Nicobar, Sub-District - Car Nicobar,... |
region_code |
region_code | string | SEL | 0% | 34 | 35-638-05916-000000, 35-638-05916-000000,... |
Extension Fields (36)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c01_religion, c01_religion, c01_religion, c01_religion,... |
study_id |
study_id | integer | 0% | 2 | 11362, 11362, 11362, 11362, 11362 |
Table / Name |
Table - Name | string | 0% | 1 | C0101, C0101, C0101, C0101, C0101 |
State / Code |
State - Code | integer | 0% | 2 | 35, 35, 35, 35, 35 |
Distt. / Code |
Distt. - Code | integer | 0% | 4 | 638, 638, 638, 638, 638 |
Tehsil / Code |
Tehsil - Code | integer | 0% | 34 | 05916, 05916, 05916, 05917, 05917 |
Town / Code |
Town - Code | integer | 0% | 1 | 000000, 000000, 000000, 000000, 000000 |
Area Name |
Area Name | string | 0% | 34 | Sub-District - Car Nicobar, Sub-District - Car Nicobar,... |
Total/ / Rural/ / Urban |
Total/ - Rural/ - Urban | string | 0% | 3 | Total, Rural, Urban, Total, Rural |
Religious communities / Hindu / Persons |
Religious communities - Hindu - Persons | integer | 0% | 53 | 1656, 1656, 0, 2067, 2067 |
Religious communities / Hindu / Males |
Religious communities - Hindu - Males | integer | 0% | 52 | 1404, 1404, 0, 1409, 1409 |
Religious communities / Hindu / Females |
Religious communities - Hindu - Females | integer | 0% | 53 | 252, 252, 0, 658, 658 |
Religious communities / Muslim / Persons |
Religious communities - Muslim - Persons | integer | 0% | 53 | 759, 759, 0, 396, 396 |
Religious communities / Muslim / Males |
Religious communities - Muslim - Males | integer | 0% | 51 | 420, 420, 0, 251, 251 |
Religious communities / Muslim / Females |
Religious communities - Muslim - Females | integer | 0% | 52 | 339, 339, 0, 145, 145 |
Religious communities / Christian / Persons |
Religious communities - Christian - Persons | integer | 0% | 51 | 15328, 15328, 0, 8114, 8114 |
Religious communities / Christian / Males |
Religious communities - Christian - Males | integer | 0% | 48 | 7850, 7850, 0, 4276, 4276 |
Religious communities / Christian / Females |
Religious communities - Christian - Females | integer | 0% | 48 | 7478, 7478, 0, 3838, 3838 |
Religious communities / Sikh / Persons |
Religious communities - Sikh - Persons | integer | 0% | 33 | 23, 23, 0, 4, 4 |
Religious communities / Sikh / Males |
Religious communities - Sikh - Males | integer | 0% | 29 | 22, 22, 0, 1, 1 |
Religious communities / Sikh / Females |
Religious communities - Sikh - Females | integer | 0% | 26 | 1, 1, 0, 3, 3 |
Religious communities / Buddhist / Persons |
Religious communities - Buddhist - Persons | integer | 0% | 49 | 59, 59, 0, 32, 32 |
Religious communities / Buddhist / Males |
Religious communities - Buddhist - Males | integer | 0% | 48 | 30, 30, 0, 22, 22 |
Religious communities / Buddhist / Females |
Religious communities - Buddhist - Females | integer | 0% | 47 | 29, 29, 0, 10, 10 |
Religious communities / Jain / Persons |
Religious communities - Jain - Persons | integer | 0% | 22 | 0, 0, 0, 0, 0 |
Religious communities / Jain / Males |
Religious communities - Jain - Males | integer | 0% | 17 | 0, 0, 0, 0, 0 |
Religious communities / Jain / Females |
Religious communities - Jain - Females | integer | 0% | 17 | 0, 0, 0, 0, 0 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Persons |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Persons | integer | 0% | 22 | 1, 1, 0, 19, 19 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Males |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Males | integer | 0% | 20 | 1, 1, 0, 7, 7 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Females |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Females | integer | 0% | 17 | 0, 0, 0, 12, 12 |
| +6 more extension fields — download the CSV/Parquet to see them all. | |||||
IND CensusIndia - C16 Mother Tongue (admin_3)
— 268,005 rows, 22 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Mother / tongue |
Mother - tongue | integer | CCL | 0% | 69 | 001000, 001002, 002000, 002007, 004000 |
Mother tongue name |
Mother tongue name | string | CCL | 0% | 69 | 1 ASSAMESE, Assamese, 2 BENGALI, Bengali, 4 DOGRI |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
region_name |
region_name | string | SEL | 0% | 2 | Car Nicobar, Car Nicobar, Car Nicobar, Car Nicobar, Car Nicobar |
region_code |
region_code | string | SEL | 0% | 2 | 35-638-05916, 35-638-05916, 35-638-05916, 35-638-05916,... |
Extension Fields (16)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c16_mother_tongue, c16_mother_tongue, c16_mother_tongue,... |
study_id |
study_id | integer | 0% | 1 | 10192, 10192, 10192, 10192, 10192 |
Table / name |
Table - name | string | 0% | 1 | C0116, C0116, C0116, C0116, C0116 |
State / code |
State - code | integer | 0% | 1 | 35, 35, 35, 35, 35 |
District / code |
District - code | integer | 0% | 1 | 638, 638, 638, 638, 638 |
Sub- / district |
Sub- - district | integer | 0% | 2 | 05916, 05916, 05916, 05916, 05916 |
Area name |
Area name | string | 0% | 2 | Car Nicobar, Car Nicobar, Car Nicobar, Car Nicobar, Car Nicobar |
Total / P |
Total - P | integer | 0% | 35 | 13, 13, 381, 381, 8 |
Total / M |
Total - M | integer | 0% | 36 | 12, 12, 342, 342, 8 |
Total / F |
Total - F | integer | 0% | 19 | 1, 1, 39, 39, 0 |
Rural / P |
Rural - P | integer | 0% | 35 | 13, 13, 381, 381, 8 |
Rural / M |
Rural - M | integer | 0% | 36 | 12, 12, 342, 342, 8 |
Rural / F |
Rural - F | integer | 0% | 19 | 1, 1, 39, 39, 0 |
Urban / P |
Urban - P | integer | 0% | 1 | 0, 0, 0, 0, 0 |
Urban / M |
Urban - M | integer | 0% | 1 | 0, 0, 0, 0, 0 |
Urban / F |
Urban - F | integer | 0% | 1 | 0, 0, 0, 0, 0 |
4
Admin 4
— 2 table(s)
IND CensusIndia - C01 Religion (admin_4)
— 8,126 rows, 43 columns
Loading data…
Field details — 43 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Total / Persons |
Total - Persons | integer | SEL | 0% | 100 | 2741, 7962, 108058, 10308, 14419 |
Total / Males |
Total - Males | integer | SEL | 0% | 100 | 1404, 4091, 57761, 5673, 7655 |
Total / Females |
Total - Females | integer | SEL | 0% | 100 | 1337, 3871, 50297, 4635, 6764 |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_4, admin_4, admin_4, admin_4, admin_4 |
region_name |
region_name | string | SEL | 0% | 79 | Bakultala (CT), Bambooflat (CT), Port Blair (M Cl),... |
region_code |
region_code | string | SEL | 0% | 100 | 35-639-05921-645439, 35-640-05922-645516,... |
Extension Fields (36)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c01_religion, c01_religion, c01_religion, c01_religion,... |
study_id |
study_id | integer | 0% | 2 | 11362, 11362, 11362, 11362, 11362 |
Table / Name |
Table - Name | string | 0% | 1 | C0101, C0101, C0101, C0101, C0101 |
State / Code |
State - Code | integer | 0% | 2 | 35, 35, 35, 35, 35 |
Distt. / Code |
Distt. - Code | integer | 0% | 9 | 639, 640, 640, 640, 640 |
Tehsil / Code |
Tehsil - Code | integer | 0% | 69 | 05921, 05922, 05923, 05923, 05923 |
Town / Code |
Town - Code | integer | 0% | 75 | 645439, 645516, 804041, 645550, 645551 |
Area Name |
Area Name | string | 0% | 79 | Bakultala (CT), Bambooflat (CT), Port Blair (M Cl),... |
Total/ / Rural/ / Urban |
Total/ - Rural/ - Urban | string | 0% | 1 | Urban, Urban, Urban, Urban, Urban |
Religious communities / Hindu / Persons |
Religious communities - Hindu - Persons | integer | 0% | 100 | 2032, 5059, 80365, 8011, 11561 |
Religious communities / Hindu / Males |
Religious communities - Hindu - Males | integer | 0% | 100 | 1047, 2634, 43303, 4478, 6176 |
Religious communities / Hindu / Females |
Religious communities - Hindu - Females | integer | 0% | 100 | 985, 2425, 37062, 3533, 5385 |
Religious communities / Muslim / Persons |
Religious communities - Muslim - Persons | integer | 0% | 99 | 34, 1927, 13428, 590, 1310 |
Religious communities / Muslim / Males |
Religious communities - Muslim - Males | integer | 0% | 100 | 18, 975, 7294, 326, 709 |
Religious communities / Muslim / Females |
Religious communities - Muslim - Females | integer | 0% | 99 | 16, 952, 6134, 264, 601 |
Religious communities / Christian / Persons |
Religious communities - Christian - Persons | integer | 0% | 98 | 660, 952, 13435, 1689, 1463 |
Religious communities / Christian / Males |
Religious communities - Christian - Males | integer | 0% | 94 | 328, 474, 6722, 861, 723 |
Religious communities / Christian / Females |
Religious communities - Christian - Females | integer | 0% | 93 | 332, 478, 6713, 828, 740 |
Religious communities / Sikh / Persons |
Religious communities - Sikh - Persons | integer | 0% | 70 | 5, 8, 556, 10, 63 |
Religious communities / Sikh / Males |
Religious communities - Sikh - Males | integer | 0% | 56 | 3, 3, 301, 6, 33 |
Religious communities / Sikh / Females |
Religious communities - Sikh - Females | integer | 0% | 58 | 2, 5, 255, 4, 30 |
Religious communities / Buddhist / Persons |
Religious communities - Buddhist - Persons | integer | 0% | 49 | 5, 6, 58, 2, 5 |
Religious communities / Buddhist / Males |
Religious communities - Buddhist - Males | integer | 0% | 40 | 4, 2, 28, 2, 3 |
Religious communities / Buddhist / Females |
Religious communities - Buddhist - Females | integer | 0% | 37 | 1, 4, 30, 0, 2 |
Religious communities / Jain / Persons |
Religious communities - Jain - Persons | integer | 0% | 44 | 0, 0, 15, 1, 1 |
Religious communities / Jain / Males |
Religious communities - Jain - Males | integer | 0% | 39 | 0, 0, 6, 0, 0 |
Religious communities / Jain / Females |
Religious communities - Jain - Females | integer | 0% | 38 | 0, 0, 9, 1, 1 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Persons |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Persons | integer | 0% | 35 | 4, 0, 107, 1, 9 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Males |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Males | integer | 0% | 29 | 3, 0, 58, 0, 6 |
Religious communities / Other religions and persuasions (incl.Unclassified Sect.) / Females |
Religious communities - Other religions and persuasions (incl.Unclassified Sect.) - Females | integer | 0% | 27 | 1, 0, 49, 1, 3 |
| +6 more extension fields — download the CSV/Parquet to see them all. | |||||
IND CensusIndia - C16 Mother Tongue (admin_4)
— 249 rows, 22 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Mother / tongue |
Mother - tongue | integer | CCL | 0% | 79 | 002000, 002007, 006000, 006066, 006240 |
Mother tongue name |
Mother tongue name | string | CCL | 0% | 79 | 2 BENGALI, Bengali, 6 HINDI, Banjari, Hindi |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_4, admin_4, admin_4, admin_4, admin_4 |
region_name |
region_name | string | SEL | 0% | 2 | Wardhannapet, Wardhannapet, Wardhannapet, Wardhannapet,... |
region_code |
region_code | string | SEL | 0% | 2 | 28-540-04704, 28-540-04704, 28-540-04704, 28-540-04704,... |
Extension Fields (16)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
source_table |
source_table | string | 0% | 1 | c16_mother_tongue, c16_mother_tongue, c16_mother_tongue,... |
study_id |
study_id | integer | 0% | 2 | 10193, 10193, 10193, 10193, 10193 |
Table / name |
Table - name | string | 0% | 1 | C0116, C0116, C0116, C0116, C0116 |
State / code |
State - code | integer | 0% | 2 | 28, 28, 28, 28, 28 |
District / code |
District - code | integer | 0% | 2 | 540, 540, 540, 540, 540 |
Sub- / district |
Sub- - district | integer | 0% | 2 | 04704, 04704, 04704, 04704, 04704 |
Area name |
Area name | string | 0% | 2 | Wardhannapet, Wardhannapet, Wardhannapet, Wardhannapet,... |
Total / P |
Total - P | integer | 0% | 65 | 1, 1, 6838, 3, 347 |
Total / M |
Total - M | integer | 0% | 59 | 0, 0, 3429, 1, 173 |
Total / F |
Total - F | integer | 0% | 58 | 1, 1, 3409, 2, 174 |
Rural / P |
Rural - P | integer | 0% | 56 | 1, 1, 6838, 3, 347 |
Rural / M |
Rural - M | integer | 0% | 50 | 0, 0, 3429, 1, 173 |
Rural / F |
Rural - F | integer | 0% | 51 | 1, 1, 3409, 2, 174 |
Urban / P |
Urban - P | integer | 0% | 45 | 0, 0, 0, 0, 0 |
Urban / M |
Urban - M | integer | 0% | 45 | 0, 0, 0, 0, 0 |
Urban / F |
Urban - F | integer | 0% | 42 | 0, 0, 0, 0, 0 |
IND India - Economic, Social, Environmental, Health, E
IND-HDX-India_-_Economic,_Social,_Environme
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND India - Economic, Social, Environmental, Health, E
— 84,360 rows, 6 columns
Loading data…
Field details — 6 fields (type, nulls, unique, samples)
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Country Name |
Country Name | string | 0% | 1 | India, India, India, India, India |
Country ISO3 |
Country ISO3 | string | 0% | 1 | IND, IND, IND, IND, IND |
Year |
Year | string | 0% | 63 | 2023, 2022, 2021, 2020, 2019 |
Indicator Name |
Indicator Name | string | 0% | 2 | Fertilizer consumption (% of fertilizer production),... |
Indicator Code |
Indicator Code | string | 0% | 2 | AG.CON.FERT.PT.ZS, AG.CON.FERT.PT.ZS, AG.CON.FERT.PT.ZS,... |
Value |
Value | string | 0% | 100 | 139.367421382504, 143.843295272156, 160.62028102616,... |
IND India - Health Indicators
IND-HDX-India_-_Health_Indicators
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND India - Health Indicators
— 23,544 rows, 17 columns
Loading data…
Field details — 17 fields (type, nulls, unique, samples)
Extension Fields (17)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
GHO (CODE) |
GHO (CODE) | string | 0% | 73 | AIR_39, NCD_BMI_PLUS1C, NUTOVERWEIGHTNUM, SDGSUICIDE, MORT_200 |
GHO (DISPLAY) |
GHO (DISPLAY) | string | 0% | 73 | Household air pollution attributable DALYs (per 100 000,... |
GHO (URL) |
GHO (URL) | string | 0% | 72 | https://www.who.int/data/gho/data/indicators/indicator-de... |
YEAR (DISPLAY) |
YEAR (DISPLAY) | string | 0% | 33 | 2015, 2013, 2015, 2017, 2002 |
STARTYEAR |
STARTYEAR | string | 0% | 33 | 2015, 2013, 2015, 2017, 2002 |
ENDYEAR |
ENDYEAR | string | 0% | 33 | 2015, 2013, 2015, 2017, 2002 |
REGION (CODE) |
REGION (CODE) | string | 0% | 1 | SEAR, SEAR, SEAR, SEAR, SEAR |
REGION (DISPLAY) |
REGION (DISPLAY) | string | 0% | 1 | South-East Asia, South-East Asia, South-East Asia,... |
COUNTRY (CODE) |
COUNTRY (CODE) | string | 0% | 1 | IND, IND, IND, IND, IND |
COUNTRY (DISPLAY) |
COUNTRY (DISPLAY) | string | 0% | 1 | India, India, India, India, India |
DIMENSION (TYPE) |
DIMENSION (TYPE) | string | 16% | 10 | SEX, SEX, SEX, SEX, AGEGROUP |
DIMENSION (CODE) |
DIMENSION (CODE) | string | 16% | 25 | SEX_MLE, SEX_MLE, SEX_MLE, SEX_BTSX, AGEGROUP_DAYS0-27 |
DIMENSION (NAME) |
DIMENSION (NAME) | string | 16% | 25 | Male, Male, Male, Both sexes, 0-27 days |
Numeric |
Numeric | string | 13% | 82 | 2885.352, 7.8123875, 1529.4, 14.86995641, 5.91688 |
Value |
Value | string | 0% | 90 | 2885 [1973-3845], 7.8 [7.1-8.5], 1529.4 [1315.2-1797.7],... |
Low |
Low | float | 40% | 58 | 1972.659, 7.0990987, 1315.2, 11.27464144, 0.4 |
High |
High | float | 40% | 60 | 3845.191, 8.543013, 1797.7, 16.96864967, 4.9 |
IND India - Education
IND-HDX-India_-_Education
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND India - Education
— 15,097 rows, 6 columns
Loading data…
Field details — 6 fields (type, nulls, unique, samples)
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
Country Name |
Country Name | string | 0% | 1 | India, India, India, India, India |
Country ISO3 |
Country ISO3 | string | 0% | 1 | IND, IND, IND, IND, IND |
Year |
Year | string | 0% | 11 | 2010, 2005, 2000, 1995, 1990 |
Indicator Name |
Indicator Name | string | 0% | 10 | Barro-Lee: Percentage of female population age 15-19... |
Indicator Code |
Indicator Code | string | 0% | 10 | BAR.NOED.1519.FE.ZS, BAR.NOED.1519.FE.ZS,... |
Value |
Value | string | 0% | 88 | 11.09, 12.62, 30.22, 37.21, 45.11 |
IND India - Subnational Demographic and Health Data
IND-HDX-India_-_Subnational_Demographic_and
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 1 table(s)
IND India - Subnational Demographic And Health Data
— 3,738 rows, 30 columns
Loading data…
Field details — 30 fields (type, nulls, unique, samples)
Extension Fields (30)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ISO3 |
ISO3 | string | 0% | 1 | IND, IND, IND, IND, IND |
Location |
Location | string | 0% | 25 | New Delhi, Haryana, Himachal Pradesh, ..Jammu region of... |
DataId |
DataId | string | 0% | 100 | 1082545, 1082525, 1062054, 1062016, 1068678 |
Indicator |
Indicator | string | 0% | 4 | Total fertility rate 15-49, Total fertility rate 15-49,... |
Value |
Value | string | 0% | 88 | 3, 4, 3, 3.1, 2.9 |
Precision |
Precision | string | 0% | 1 | 1, 1, 1, 1, 1 |
DHS_CountryCode |
DHS_CountryCode | string | 0% | 1 | IA, IA, IA, IA, IA |
CountryName |
CountryName | string | 0% | 1 | India, India, India, India, India |
SurveyYear |
SurveyYear | string | 0% | 1 | 1993, 1993, 1993, 1993, 1993 |
SurveyId |
SurveyId | string | 0% | 1 | IA1993DHS, IA1993DHS, IA1993DHS, IA1993DHS, IA1993DHS |
IndicatorId |
IndicatorId | string | 0% | 4 | FE_FRTR_W_TFR, FE_FRTR_W_TFR, FE_FRTR_W_TFR,... |
IndicatorOrder |
IndicatorOrder | string | 0% | 4 | 11763080, 11763080, 11763080, 11763080, 11763080 |
IndicatorType |
IndicatorType | string | 0% | 1 | I, I, I, I, I |
CharacteristicId |
CharacteristicId | string | 0% | 25 | 413000, 413001, 413002, 413004, 413005 |
CharacteristicOrder |
CharacteristicOrder | string | 0% | 25 | 1413000, 1413010, 1413020, 1413040, 1413050 |
CharacteristicCategory |
CharacteristicCategory | string | 0% | 1 | Region, Region, Region, Region, Region |
CharacteristicLabel |
CharacteristicLabel | string | 0% | 25 | New Delhi, Haryana, Himachal Pradesh, ....Jammu region... |
ByVariableId |
ByVariableId | string | 0% | 1 | 0, 0, 0, 0, 0 |
ByVariableLabel |
ByVariableLabel | string | 100% | - | - |
IsTotal |
IsTotal | string | 0% | 1 | 0, 0, 0, 0, 0 |
IsPreferred |
IsPreferred | string | 0% | 1 | 1, 1, 1, 1, 1 |
SDRID |
SDRID | string | 0% | 4 | FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR |
RegionId |
RegionId | string | 0% | 25 | IADHS1993413000, IADHS1993413001, IADHS1993413002,... |
SurveyYearLabel |
SurveyYearLabel | string | 0% | 1 | 1992-93, 1992-93, 1992-93, 1992-93, 1992-93 |
SurveyType |
SurveyType | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
DenominatorWeighted |
DenominatorWeighted | string | 25% | 25 | 997, 1703, 524, 361, 2074 |
DenominatorUnweighted |
DenominatorUnweighted | string | 25% | 25 | 3309, 2742, 2823, 2641, 2877 |
CILow |
CILow | string | 100% | - | - |
CIHigh |
CIHigh | string | 100% | - | - |
LevelRank |
LevelRank | string | 0% | 1 | 1, 1, 1, 1, 1 |
IND LandScan Global (ORNL)
IND-LANDSCAN
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND LandScan - Population Admin0 (admin_0)
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | India |
admin_code |
Admin code | string | SEL | 0% | 1 | 67634026B97797269081249 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 3268751.5188 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 1397946543 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 427.67 |
1
Admin 1
— 1 table(s)
IND LandScan - Population Admin1 (admin_1)
— 36 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 36 | Uttar Pradesh, Mahārāshtra, Bihār, West Bengal, Madhya Pradesh |
admin_code |
Admin code | string | SEL | 0% | 36 | 1811400B11231190780494, 1811400B15614733245507,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 36 | 241059.2577, 307492.6221, 94191.4092, 85189.6719, 308215.3904 |
pop_2024 |
Population count | integer | SEL | 0% | 36 | 236286285, 129155718, 126654901, 103380559, 85878670 |
pop_density_2024 |
Population density | float | SEL | 0% | 36 | 980.2, 420.03, 1344.65, 1213.53, 278.63 |
Locality
Locality
— 1 table(s)
IND LandScan - Cities (locality)
— 1,925 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | New Delhi, Mumbai, Kolkata, Chennai, Bengaluru |
admin_code |
Admin code | integer | SEL | 0% | 100 | 7963, 7599, 11352, 10300, 9558 |
area_sqkm |
Area sqkm | float | SEL | 0% | 100 | 2131.2092, 734.1097, 2470.2386, 1045.9022, 1001.9315 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 27098931, 19418995, 18536043, 10534486, 10098112 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 12715.28, 26452.44, 7503.75, 10072.15, 10078.65 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 100 | 31422508, 20453270, 23314585, 11466400, 15178533 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 93 | 0.862, 0.949, 0.795, 0.919, 0.665 |
IND GHS Urban Centre Database (EU JRC)
IND-GHSL_UCDB
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
Locality
Locality
— 1 table(s)
IND GHS-UCDB - Cities (locality)
— 1,925 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 100 | New Delhi, Kolkata, Mumbai, Bengaluru, Chennai |
country_code |
Country code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
population |
Population count | integer | SEL | 0% | 100 | 31422508, 23314585, 20453270, 15178533, 11466400 |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 100 | 7963, 11352, 7599, 9558, 10300 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | India, India, India, India, India |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
IND Global Data Lab
IND-GDL
Development Indices
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 1 table(s)
IND GDL - Subnational Indices
— 1,258 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 37 | Total, Andaman and Nicobar Islands, Andhra Pradesh,... |
human_development_index |
Human development index | float | SEL | 0% | 93 | 0.501, 0.789, 0.489, 0.498, 0.476 |
health_index |
Health index | float | SEL | 0% | 86 | 0.594, 0.837, 0.633, 0.651, 0.558 |
education_index |
Education index | float | SEL | 0% | 79 | 0.456, 0.91, 0.408, 0.409, 0.467 |
income_index |
Income index | float | SEL | 0% | 82 | 0.465, 0.645, 0.453, 0.464, 0.415 |
life_expectancy |
Life expectancy | float | SEL | 0% | 96 | 58.62, 74.41, 61.13, 62.32, 56.26 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 91 | 6.837, 13.64, 5.719, 4.979, 6.945 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 3 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
IND India - Demographic, Health, Education and Transpo
IND-HDX-India_-_Demographic,_Health,_Educat
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND India - Demographic, Health, Education And Transpo
— 1,231 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
category |
category | string | 0% | 8 | Crime, Crime, Health, Transport, Transport |
indicator |
indicator | string | 0% | 26 | recorded_assault_rate, recorded_assault_rate,... |
indicator_friendly |
indicator_friendly | string | 0% | 26 | Recorded assault rate per 100, Recorded assault rate per... |
type_data |
type_data | string | 0% | 5 | 000 population, 000 population, p, n, n |
latitude |
latitude | string | 0% | 6 | n, n, 20, 20, 20 |
longitude |
longitude | string | 0% | 6 | 20, 20, 77, 77, 77 |
region_id |
region_id | string | 0% | 2 | 77, 77, 689, 689, 689 |
country_id |
country_id | string | 0% | 2 | 689, 689, IN, IN, IN |
name |
name | string | 0% | 6 | IN, IN, India, India, India |
year |
year | string | 0% | 31 | India, India, 2005, 2003, 1990 |
value |
value | string | 0% | 98 | 1998, 1999, 9.7, 9, 4 |
IND Glottolog Language Catalog
IND-GLOTTOLOG
Language
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND Glottolog - Languages
— 518 rows, 16 columns
Loading data…
Field details — 16 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | aari1240, adiv1239, adiw1235, agar1251, aher1237 |
name |
Name | string | CCL | 0% | 100 | Aariya, Kotia-Adivasi Oriya-Desiya, Adiwasi Garasia,... |
iso639_3 |
Iso639 3 | string | CCL | 7% | 93 | aay, ort, gas, agi, esg |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 1% | 11 | book1242, indo1319, indo1319, unat1236, drav1251 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 1% | 74 | book1242, macr1269, gara1268, drav1252, east2880 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 11 | ['IN'], ['IN'], ['IN'], ['IN'], ['IN'] |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 14 | 0, 0, 0, 0, 3 |
Extension Fields (3)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 1% | 98 | 18.1046, 24.0712, 24.5024, 19.4163, 21.552 |
longitude |
longitude | float | 1% | 99 | 82.8487, 73.1426, 82.297, 80.0058, 73.685 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
IND USAID DHS Program
IND-DHS
Health Surveys
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 2 table(s)
IND DHS - Ethnicity Indicators
— 113 rows, 8 columns
Loading data…
Field details — 8 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 91 | 62.9, 66.7, 37.0, 49.5, 55.0 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 82 | 79.4, 76.5, 70.4, 77.8, 76.4 |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | India, India, India, India, India |
survey_year |
survey_year | integer | 0% | 3 | 2015, 2020, 2006, 2015, 2020 |
region |
region | string | 0% | 39 | ..Andhra Pradesh, ..Andhra Pradesh, ..Bihar, ..Bihar, ..Bihar |
survey_id |
survey_id | string | 0% | 3 | IA2015DHS, IA2020DHS, IA2006DHS, IA2015DHS, IA2020DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
IND DHS - Health Indicators
— 164 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 62 | 50.0, 43.0, 34.0, 65.0, 48.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 68 | 68.0, 49.0, 39.0, 95.0, 59.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 95 | 65.7, 65.2, 7.2, 32.8, 61.7 |
Extension Fields (5)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | India, India, India, India, India |
survey_year |
survey_year | integer | 0% | 5 | 1993, 2015, 2020, 2006, 2015 |
region |
region | string | 0% | 31 | ....Jammu region of Jammu & Kashmir, ..Andhra Pradesh,... |
survey_id |
survey_id | string | 0% | 5 | IA1993DHS, IA2015DHS, IA2020DHS, IA2006DHS, IA2015DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
IND World Bank Open Data
IND-WORLD_BANK
Development Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 3 table(s)
IND World Bank - Development Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IN, IN, IN, IN, IN |
population_count |
Population count | float | SEL | 2% | 65 | 435990338.0, 446564729.0, 457283090.0, 468138575.0, 479229598.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 45.61, 45.824, 46.133, 46.458, 46.742 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 84.9328084793106, 87.8538613470205, 92.1999583629516,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 80% | 13 | 40.7599983215332, 48.2200012207031, 61.0099983215332,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 241.1, 237.9, 234.8, 232.0, 229.3 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 94% | 4 | 45.3, 37.2, 29.8, 21.9 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | India, India, India, India, India |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
IND World Bank - Health Indicators
— 66 rows, 14 columns
Loading data…
Field details — 14 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IN, IN, IN, IN, IN |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 45.61, 45.824, 46.133, 46.458, 46.742 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 17% | 55 | 85.3, 84.7, 84.1, 83.4, 82.6 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 241.1, 237.9, 234.8, 232.0, 229.3 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 38 | 658.0, 624.0, 592.0, 562.0, 538.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 5.921, 5.937, 5.953, 5.969, 5.979 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 42.902, 42.67, 42.475, 42.261, 42.061 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 19.421, 19.227, 18.981, 18.728, 18.512 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 76% | 14 | 0.21, 0.205, 0.205, 0.204, 0.371 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 55% | 30 | 0.458986908197403, 0.604499995708466, 0.588199973106384,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 34 | 6.0, 6.0, 12.0, 14.0, 16.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.10568476, 4.33754253, 4.31453371, 4.07877731, 4.02679491 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | India, India, India, India, India |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
IND World Bank - Education Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IN, IN, IN, IN, IN |
primary_enrollment_rate_pct |
Primary enrollment rate percent | float | SEL | 21% | 52 | 78.3710327148438, 79.3442764282227, 82.6989974975586,... |
secondary_enrollment_rate_pct |
Secondary enrollment rate percent | float | SEL | 27% | 48 | 23.9795207977295, 24.3535308837891, 24.7536602020264,... |
tertiary_enrollment_rate_pct |
Tertiary enrollment rate percent | float | SEL | 29% | 47 | 4.91587018966675, 5.05735015869141, 5.04934978485107,... |
out_of_school_rate_pct |
Out of school rate percent | float | SEL | 65% | 23 | 39.0692405700684, 23.385799407959, 12.1085500717163,... |
education_expenditure_pct_gdp |
Education expenditure percent gdp | float | SEL | 67% | 22 | 3.36137008666992, 3.57257008552551, 4.41538000106812,... |
gender_parity_index |
Gender parity index | float | SEL | 38% | 41 | 0.578909993171692, 0.582499980926514, 0.592090010643005,... |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | India, India, India, India, India |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
IND UNHCR Refugee Data Finder
IND-UNHCR
Migration
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
IND UNHCR - Hosted Populations
— 75 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
IND UNHCR - Origin Populations
— 75 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
IND India - National Demographic and Health Data
IND-HDX-India_-_National_Demographic_and_He
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND India - National Demographic And Health Data
— 126 rows, 29 columns
Loading data…
Field details — 29 fields (type, nulls, unique, samples)
Extension Fields (29)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ISO3 |
ISO3 | string | 0% | 1 | IND, IND, IND, IND, IND |
DataId |
DataId | string | 0% | 100 | 137887, 629125, 629126, 391889, 514703 |
Indicator |
Indicator | string | 0% | 26 | Total fertility rate 15-49, Married women currently... |
Value |
Value | string | 0% | 93 | 3.4, 40.7, 36.5, 20.3, 59.7 |
Precision |
Precision | string | 0% | 2 | 1, 1, 1, 1, 1 |
DHS_CountryCode |
DHS_CountryCode | string | 0% | 1 | IA, IA, IA, IA, IA |
CountryName |
CountryName | string | 0% | 1 | India, India, India, India, India |
SurveyYear |
SurveyYear | string | 0% | 5 | 1993, 1993, 1993, 1993, 1993 |
SurveyId |
SurveyId | string | 0% | 5 | IA1993DHS, IA1993DHS, IA1993DHS, IA1993DHS, IA1993DHS |
IndicatorId |
IndicatorId | string | 0% | 26 | FE_FRTR_W_TFR, FP_CUSM_W_ANY, FP_CUSM_W_MOD,... |
IndicatorOrder |
IndicatorOrder | string | 0% | 26 | 11763080, 32633010, 32633020, 32933030, 32933150 |
IndicatorType |
IndicatorType | string | 0% | 1 | I, I, I, I, I |
CharacteristicId |
CharacteristicId | string | 0% | 2 | 1000, 1000, 1000, 1000, 1000 |
CharacteristicOrder |
CharacteristicOrder | string | 0% | 2 | 0, 0, 0, 0, 0 |
CharacteristicCategory |
CharacteristicCategory | string | 0% | 2 | Total, Total, Total, Total, Total |
CharacteristicLabel |
CharacteristicLabel | string | 0% | 2 | Total, Total, Total, Total, Total |
ByVariableId |
ByVariableId | string | 0% | 6 | 0, 0, 0, 0, 0 |
ByVariableLabel |
ByVariableLabel | string | 66% | 5 | Five years preceding the survey, Ten years preceding the... |
IsTotal |
IsTotal | string | 0% | 1 | 1, 1, 1, 1, 1 |
IsPreferred |
IsPreferred | string | 0% | 2 | 1, 1, 1, 1, 1 |
SDRID |
SDRID | string | 0% | 26 | FEFRTRWTFR, FPCUSMWANY, FPCUSMWMOD, FPNADMWUNT, FPNADMWPDM |
RegionId |
RegionId | string | 100% | - | - |
SurveyYearLabel |
SurveyYearLabel | string | 0% | 5 | 1992-93, 1992-93, 1992-93, 1992-93, 1992-93 |
SurveyType |
SurveyType | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
DenominatorWeighted |
DenominatorWeighted | string | 31% | 52 | 84328, 84328, 84328, 51454, 37515 |
DenominatorUnweighted |
DenominatorUnweighted | string | 31% | 52 | 84289, 84289, 84289, 52692, 36821 |
CILow |
CILow | string | 78% | 17 | 76, 84, 106, 116, 65 |
CIHigh |
CIHigh | string | 78% | 18 | 81, 89, 113, 122, 70 |
LevelRank |
LevelRank | string | 100% | - | - |
IND D-PLACE
IND-DPLACE
Ethnographic Societies
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND D-PLACE - Dplace Ea Societies
— 39 rows, 18 columns
Loading data…
Field details — 18 fields (type, nulls, unique, samples)
Standards-Aligned Fields (11)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
society_id |
Society id | string | CCL | 0% | 39 | Ee1, Ef1, Ef10, Ef11, Ef2 |
society_name |
Society name | string | CCL | 0% | 39 | Adi, Santal, Bihari, Uttar Pradesh, Bengali |
language_glottocode |
Language glottocode | string | CCL | 0% | 39 | bori1243, sant1410, mait1250, bhoj1244, beng1280 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 25 | EA001:0; EA002:2; EA003:2; EA004:2; EA005:4, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 28 | EA006:1; EA007:2; EA008:2; EA009:2; EA010:10, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 25 | EA028:3; EA029:6; EA030:7; EA031:3; EA032:3, EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 26 | EA033:1; EA034:1; EA035:2, EA033:2; EA034:2; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 18 | EA034:1; EA112:NA, EA034:2; EA112:3, EA034:NA; EA112:NA,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 9 | EA011:1; EA012:10; EA013:2, EA011:1; EA012:8; EA013:9,... |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | India, India, India, India, India |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 17 | 28.0, 24.0, 25.0, 26.0, 23.0 |
longitude |
longitude | float | 0% | 19 | 95.0, 87.0, 86.0, 83.0, 88.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
IND Google Community Mobility (2020-2022)
IND-GOOGLE-MOBILITY
Mobility
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 1 table(s)
IND Mobility by Region
— 36 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IN, IN, IN, IN, IN |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 36 | 18.91, -16.36, -11.79, -2.42, 6.08 |
grocery |
grocery | float | 0% | 36 | -0.6, 32.69, 12.78, 25.42, 49.68 |
parks |
parks | float | 0% | 36 | 0.13, 2.7, 10.82, 38.0, 54.15 |
transit |
transit | float | 0% | 36 | 23.77, -6.19, -8.75, -7.03, 17.36 |
workplaces |
workplaces | float | 0% | 35 | 24.48, -2.7, -8.91, 7.13, 12.62 |
residential |
residential | float | 0% | 36 | 11.6, 14.34, 5.52, 14.75, 12.48 |
region |
region | string | 0% | 36 | Andaman and Nicobar Islands, Andhra Pradesh, Arunachal... |
observation_count |
observation_count | integer | 0% | 34 | 2636, 13636, 5571, 27267, 37012 |
IND NGA GEOnet Names Server (GNS)
IND-NGA_GNS
Language
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
IND Nga Gns - Language
— 21 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
gns_language_code |
gns_language_code | string | CCL | 0% | 21 | eng, hin, nep, zho, ben |
gns_language_name |
gns_language_name | string | CCL | 0% | 21 | English, Hindi, Nepali, Chinese, Bengali |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 15 | 1727, 294, 264, 68, 43 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 15 | 68.2339, 11.616, 10.4307, 2.6867, 1.6989 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 11 | 0, 254, 0, 33, 38 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 6 | , Deva, , Hans, Beng |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 6 | , Devanagari (Nagari), , Han (Simplified variant), Bengali |
gns_script_count |
gns_script_count | integer | CCL | 0% | 3 | 0, 1, 0, 2, 1 |
IND Nga Gns - Summary
— 1 rows, 29 columns
Loading data…
Field details — 29 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IND |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | India |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 21 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 6 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9983 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 431 |
Extension Fields (22)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 663692 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 638134 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 663681 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 11 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 569459 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 554032 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1603 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 557 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 19055 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 17882 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 13296 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 9597 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 38862 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 35022 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 19220 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 18982 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 1731 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 1663 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 466 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 399 |
IND Ethnic Power Relations Dataset
IND-EPR
Political Ethnicity
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND EPR - Groups
— 21 rows, 8 columns
Loading data…
Field details — 8 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND, IND, IND, IND, IND |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 21 | Hindi (Non SC/ST OBCs), Other Backward Classes/Castes,... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 4 | SENIOR PARTNER, JUNIOR PARTNER, DISCRIMINATED, JUNIOR... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 17 | 0.263, 0.134, 0.115, 0.0773, 0.053 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 21 | 75005000, 75016000, 75013000, 75021000, 75011000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | true, false, false, false, true |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
IND OpenFactBook
IND-OPENFACTBOOK
Country Profile
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 17 table(s)
IND OpenFactBook - Communications
— 1 rows, 22 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 79.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .in |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 56.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (14)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 27.455 million (2022 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 27.455 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 1.15 billion (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 1.15 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 79 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | Doordarshan, India's public TV network, has a monopoly... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 20.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 56% (2022 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 39.3 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 39.3 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - Economy
— 1 rows, 156 columns
Loading data…
Field details — 156 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 9800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 3.913 |
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (151)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | largest South Asian economy; strong, sustained GDP... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $14.244 trillion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 14.244 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $13.377 trillion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 13.377 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $12.251 trillion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 12.251 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 6.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 6.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 9.2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 9.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 7.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 7.6 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $9,800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $9,300 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 9300.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $8,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 8600.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $3.913 trillion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 5% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 5.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 6.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 6.7 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 16.4% (2024 est.) |
| +121 more extension fields — download the CSV/Parquet to see them all. | |||||
IND OpenFactBook - Energy
— 1 rows, 69 columns
Loading data…
Field details — 69 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 99.2 |
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (65)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 99.2% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 99.3% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 99.3 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 499.136 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 499.136 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 1.5 trillion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 1.5 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 9.529 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 9.529 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 7.843 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 7.843 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 303.066 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 303.066 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 75.5% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 75.5 |
electricity_generation_sources_nuclear_text |
electricity_generation_sources_nuclear_text | string | 0% | 1 | 2.7% of total installed capacity (2023 est.) |
electricity_generation_sources_nuclear_numeric |
electricity_generation_sources_nuclear_numeric | float | 0% | 1 | 2.7 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 6.6% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 6.6 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 5.1% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 5.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 8.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 8.2 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.9% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.9 |
nuclear_energy_number_of_operational_nuclear_reactors_text |
nuclear_energy_number_of_operational_nuclear_reactors_text | string | 0% | 1 | 20 (2025) |
nuclear_energy_number_of_operational_nuclear_reactors_numeric |
nuclear_energy_number_of_operational_nuclear_reactors_numeric | float | 0% | 1 | 20.0 |
nuclear_energy_number_of_nuclear_reactors_under_construction_text |
nuclear_energy_number_of_nuclear_reactors_under_construction_text | string | 0% | 1 | 7 (2025) |
| +35 more extension fields — download the CSV/Parquet to see them all. | |||||
IND OpenFactBook - Environment
— 1 rows, 56 columns
Loading data…
Field details — 56 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 60.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 24.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 36.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.33 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 189.75 |
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (48)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation; soil erosion; overgrazing;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic-Environmental Protection, Antarctic-Marine... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | varies from tropical monsoon in south to temperate in north |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 60.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 51.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 51.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 4.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 4.9 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 3.4% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 3.4 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 24.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 15.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 15.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 36.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.33% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 2.821 billion metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 2.821 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 2.054 billion metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 2.054 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 642.909 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 642.909 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 124.226 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 124.226 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 55.6 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 55.6 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 8,217.3 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 8217.3 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 17,971 kt (2019-2021 est.) |
| +18 more extension fields — download the CSV/Parquet to see them all. | |||||
IND OpenFactBook - Ethnic Groups
— 1 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Indian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Indian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Indo-Aryan 72%, Dravidian 25%, and other 3% (2000) |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 72.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - Geography
— 1 rows, 64 columns
Loading data…
Field details — 64 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 3287263.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 2973193.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 314070.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 13888.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 7000.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 8586.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 60.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 24.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 754562.0 |
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (51)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern Asia, bordering the Arabian Sea and the Bay of... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 20 00 N, 77 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 20.0 |
map_references_text |
map_references_text | string | 0% | 1 | Asia |
area_total_text |
area_total_text | string | 0% | 1 | 3,287,263 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 2,973,193 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 314,070 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly more than one-third the size of the US |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 13,888 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Bangladesh 4,142 km; Bhutan 659 km; Burma 1,468 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 4142.0 |
coastline_text |
coastline_text | string | 0% | 1 | 7,000 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm or to the edge of the continental margin |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | varies from tropical monsoon in south to temperate in north |
terrain_text |
terrain_text | string | 0% | 1 | upland plain (Deccan Plateau) in south, flat to rolling... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Kanchenjunga 8,586 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Indian Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 160 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 160.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | coal (fourth-largest reserves in the world), antimony,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 60.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 51.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 51.8 |
| +21 more extension fields — download the CSV/Parquet to see them all. | |||||
IND OpenFactBook - Government
— 1 rows, 119 columns
Loading data…
Field details — 119 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (117)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of India |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | India |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republic of India (English)/ Bharatiya Ganarajya (Hindi) |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | India (English)/ Bharat (Hindi) |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the English name derives from the Indus River; the... |
government_type_text |
government_type_text | string | 0% | 1 | federal parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | New Delhi |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 28 36 N, 77 12 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 28.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+5.5 (10.5 hours ahead of Washington, DC, during... |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 5.5 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name is of unknown origin; one theory says it may... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 28 states and 8 union territories*; Andaman and Nicobar... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 28.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | common law system based on the English model; separate... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1935 (pre-independence); latest draft completed... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1935.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by either the Council of States or the House of... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of India |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Droupadi MURMU (since 25 July 2022) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 25.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Narendra MODI (since 26 May 2014) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 26.0 |
| +87 more extension fields — download the CSV/Parquet to see them all. | |||||
IND OpenFactBook - Introduction
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The Indus Valley civilization, one of the world's... |
background_numeric |
background_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - Languages
— 1 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Hindi 43.6%, Bengali 8%, Marathi 6.9%, Telugu 6.7%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 43.6 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | विश्व फ़ैक्टबुक, आधारभूत जानकारी का एक अनिवार्य स्रोत... |
languages_note |
languages_note | string | 0% | 1 | note 1: there are 22 other recognized languages --... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - Migration
— 1 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 250,006 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 250006.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 642,610 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 642610.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 23,262 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 23262.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - Military And Security
— 1 rows, 27 columns
Loading data…
Field details — 27 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (24)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Indian Armed Forces (IAF): Army, Navy, Air Force, Coast... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2.3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.3 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.1% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.1 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.2% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.2 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | information varies; approximately 1.5 million active... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 1.5 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's inventory consists of Russian- and... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | ages vary by branch of service and positions, but... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 17.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 1,100 Democratic Republic of the Congo (MONUSCO); 200... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 1100.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Indian military's primary mission is... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1962.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - People And Society
— 1 rows, 152 columns
Loading data…
Field details — 152 fields (type, nulls, unique, samples)
Standards-Aligned Fields (29)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 1419316933.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 730902574.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 688414359.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 24.5 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 68.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 6.8 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 45.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 35.0 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 10.0 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 30.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.72 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 15.91 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 8.7 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.03 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 36.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.33 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.1 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.06 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 80.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 30.5 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 68.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.0 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.95 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.72 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.6 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 81.7 |
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (123)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 1,419,316,933 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 730,902,574 |
population_female_text |
population_female_text | string | 0% | 1 | 688,414,359 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 24.5% (male 181,115,052/female 163,647,028) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 68.7% (male 500,568,593/female 467,593,781) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 6.8% (2024 est.) (male 44,101,180/female 52,102,662) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 45 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 35 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 10 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 10 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 10.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 30.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 29.1 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 29.1 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 30.5 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 30.5 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.72% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 15.91 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 8.7 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.03 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | a very high population density exists throughout most of... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 36.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.33% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 32.941 million NEW DELHI (capital), 21.297 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 32.941 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.1 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.11 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.11 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.07 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.07 |
| +93 more extension fields — download the CSV/Parquet to see them all. | |||||
IND OpenFactBook - Religions
— 1 rows, 17 columns
Loading data…
Field details — 17 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_hindu_pct_synth |
Hindu | numeric | CCL | 0% | - | 79.8 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 14.2 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 2.3 |
composition_ethnicity_primary_label_synth |
Indo-Aryan | string | CCL | 0% | - | Indo-Aryan |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Hindu 79.8%, Muslim 14.2%, Christian 2.3%, Sikh 1.7%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 79.8 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
Pending (6) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_sikh_pct_synth |
Sikh | numeric | 0% | - | 1.7 |
composition_religion_other_and_unspecified_pct_synth |
other and unspecified | numeric | 0% | - | 2.0 |
composition_ethnicity_indo_aryan_pct_synth |
Indo-Aryan | numeric | 0% | - | 72.0 |
composition_ethnicity_dravidian_pct_synth |
Dravidian | numeric | 0% | - | 25.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 3.0 |
composition_ethnicity_primary_share_pct_synth |
Indo-Aryan | numeric | 0% | - | 72.0 |
IND OpenFactBook - Space
— 1 rows, 13 columns
Loading data…
Field details — 13 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (10)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Indian Space Research Organization (ISRO; originally... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 1962.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | Satish Dhawan Space Center (aka Sriharikota Range;... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 2025.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has one of the world’s largest space programs; designs,... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 50.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1963 - first sounding (research) rocket launched1975 -... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1963.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - Terrorism
— 1 rows, 6 columns
Loading data…
Field details — 6 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (3)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | al-Qa’ida; al-Qa’ida in the Indian Subcontinent (AQIS);... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - Transnational Issues
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major illicit drug-producing and/or drug-transit... |
illicit_drugs_usg_identification_numeric |
illicit_drugs_usg_identification_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND OpenFactBook - Transportation
— 1 rows, 35 columns
Loading data…
Field details — 35 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | VT |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 315.0 |
country_code |
Country code | string | SEL | 0% | 1 | IND |
country_name |
Country name | string | SEL | 0% | 1 | India |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (30)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 315 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 289 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 289.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 65,554 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 65554.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 1,604 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 1604.0 |
railways_broad_gauge_text |
railways_broad_gauge_text | string | 0% | 1 | 63,950 km (2014) (39, 329 km electrified) |
railways_broad_gauge_numeric |
railways_broad_gauge_numeric | float | 0% | 1 | 63950.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 1,859 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 1859.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 66, container ship 22, general cargo 607,... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 66.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 56 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 56.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 4 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 4.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 4 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 4.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 13 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 13.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 30 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 30.0 |
ports_size_unknown_text |
ports_size_unknown_text | float | 0% | 1 | 5 |
ports_size_unknown_numeric |
ports_size_unknown_numeric | float | 0% | 1 | 5.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 18 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 18.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Calcutta, Chennai (Madras), Jawaharlal Nehru Port (Nhava... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | south-asia/in.json |
IND Global Organized Crime Index
IND-OCINDEX
Crime Index
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
IND Organized Crime Scores 2025
— 1 rows, 35 columns
Loading data…
Field details — 35 fields (type, nulls, unique, samples)
Extension Fields (35)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||