India
IND
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675,298
Records
20
Datasets
60
Tables
15
Sources
313
SEL Fields
84
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) · 2011
Office of the Registrar General & Census Commissioner, India (ORGI)
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1
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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
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
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 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 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
— 56 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
— 40 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 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, 21 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, 151 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, 51 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, 8 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, 59 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, 91 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, 6 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, 8 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, 21 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, 139 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, 6 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, 9 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, 6 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, 32 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 — 139 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
Extension Fields (22)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | 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_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_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | 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_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
Pending (104) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | IND |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 20 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 6.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 6 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 66 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 6 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 7 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 7.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 7.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 111 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 3.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 111 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.8 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.75 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 15 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.7 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 6.3 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 57 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 6.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 6 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 58 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.75 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 5.53 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 15 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||