Colombia

COL Departamento Administrativo Nacional de Estadistica (DANE) COL-DANE Census

1,155 rows · 2 table(s) · 2018 Departamento Administrativo Nacional de Estadistica (DANE) 0 1 2 3 20 SEL 150 ext ▶

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)

COL Dane - Col 2018 Cnpv (admin_1) — 33 rows, 84 columns

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Field details — 84 fields (type, nulls, unique, samples)

Standards-Aligned Fields (10)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	integer	SEL	0%	33	18, 19, 86, 76, 94
`admin_name`	Admin name	string	SEL	0%	33	CAQUETÁ, CAUCA, PUTUMAYO, VALLE DEL CAUCA, GUAINÍA
`STVIVIENDA`	Dwelling count	integer	SEL	0%	33	138366, 457643, 110853, 1449163, 11404
`TSP16_HOG`	Household count	integer	SEL	0%	33	116166, 432493, 107053, 1267039, 9953
`STP27_PERS`	Population count	integer	SEL	0%	33	359602, 1243503, 283197, 3789874, 44431
`STP32_1_SE`	Population male	integer	SEL	0%	33	182378, 615833, 142900, 1800614, 23214
`STP32_2_SE`	Population female	integer	SEL	0%	33	177224, 627670, 140297, 1989260, 21217
`STP51_PRIM`	Population with primary education (highest level)	integer	SEL	0%	33	113225, 434283, 85979, 851033, 18602
`STP51_SECU`	Population with secondary education (highest level)	integer	SEL	0%	33	24649, 195877, 30892, 446077, 2788
`STP51_SUPE`	Population with higher education (highest level)	integer	SEL	0%	33	17680, 105690, 20987, 636722, 2227

Extension Fields (74) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`STCTNENCUE`	STCTNENCUE	integer	0%	33	163381, 622959, 147797, 1674673, 13059
`STP3_1_SI`	STP3_1_SI	integer	0%	30	1117, 83033, 4704, 18250, 3675
`STP3_2_NO`	STP3_2_NO	integer	0%	33	162264, 539926, 143093, 1656423, 9384
`STP3A_RI`	STP3A_RI	integer	0%	29	1117, 70827, 4659, 3618, 3675
`STP3B_TCN`	STP3B_TCN	integer	0%	10	0, 12206, 45, 14632, 0
`STP4_1_SI`	STP4_1_SI	integer	0%	33	544, 226, 1389, 21431, 532
`STP4_2_NO`	STP4_2_NO	integer	0%	33	162837, 622733, 146408, 1653242, 12527
`STP9_1_USO`	STP9_1_USO	integer	0%	33	132937, 446806, 107456, 1410067, 11111
`STP9_2_USO`	STP9_2_USO	integer	0%	33	5429, 10837, 3397, 39096, 293
`STP9_3_USO`	STP9_3_USO	integer	0%	33	24804, 165011, 36789, 224820, 1553
`STP9_4_USO`	STP9_4_USO	integer	0%	32	211, 324, 173, 690, 102
`STP9_2_1_M`	STP9_2_1_M	integer	0%	31	96, 328, 67, 1920, 12
`STP9_2_2_M`	STP9_2_2_M	integer	0%	33	3860, 6147, 2572, 22705, 154
`STP9_2_3_M`	STP9_2_3_M	integer	0%	33	1117, 2276, 717, 11986, 106
`STP9_2_4_M`	STP9_2_4_M	integer	0%	33	243, 2016, 29, 2357, 6
`STP9_2_9_M`	STP9_2_9_M	integer	0%	28	113, 70, 12, 128, 15
`STP9_3_1_N`	STP9_3_1_N	integer	0%	33	160, 810, 188, 5572, 15
`STP9_3_2_N`	STP9_3_2_N	integer	0%	33	5422, 10334, 4402, 50097, 244
`STP9_3_3_N`	STP9_3_3_N	integer	0%	33	2511, 9455, 2485, 40191, 263
`STP9_3_4_N`	STP9_3_4_N	integer	0%	32	3052, 43342, 6665, 32665, 24
`STP9_3_5_N`	STP9_3_5_N	integer	0%	33	1250, 3515, 1428, 5452, 149
`STP9_3_6_N`	STP9_3_6_N	integer	0%	33	10099, 86486, 18445, 67080, 597
`STP9_3_7_N`	STP9_3_7_N	integer	0%	33	678, 3155, 368, 6881, 35
`STP9_3_8_N`	STP9_3_8_N	integer	0%	32	12, 105, 74, 169, 7
`STP9_3_9_N`	STP9_3_9_N	integer	0%	33	96, 969, 319, 1340, 5
`STP9_3_10`	STP9_3_10	integer	0%	33	1453, 6596, 2334, 14970, 206
`STP9_3_99`	STP9_3_99	integer	0%	33	71, 244, 81, 403, 8
`STP14_1_TI`	STP14_1_TI	integer	0%	33	115307, 372096, 90540, 902928, 8577
+44 more extension fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

COL Dane - Col 2018 Cnpv (admin_2) — 1,122 rows, 86 columns

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Field details — 86 fields (type, nulls, unique, samples)

Standards-Aligned Fields (10)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	integer	SEL	0%	100	18001, 18029, 18094, 18247, 18256
`admin_name`	Admin name	string	SEL	0%	97	FLORENCIA, ALBANIA, BELÉN DE LOS ANDAQUÍES, EL DONCELLO,...
`STVIVIENDA`	Dwelling count	integer	SEL	0%	100	63354, 1875, 3332, 6955, 5095
`TSP16_HOG`	Household count	integer	SEL	0%	99	51430, 1559, 3161, 6129, 5848
`STP27_PERS`	Population count	integer	SEL	0%	100	156789, 4514, 9075, 17775, 13014
`STP32_1_SE`	Population male	integer	SEL	0%	100	77620, 2323, 4551, 8790, 6601
`STP32_2_SE`	Population female	integer	SEL	0%	99	79169, 2191, 4524, 8985, 6413
`STP51_PRIM`	Population with primary education (highest level)	integer	SEL	0%	100	37918, 1696, 2596, 6091, 4805
`STP51_SECU`	Population with secondary education (highest level)	integer	SEL	0%	97	14123, 150, 418, 712, 261
`STP51_SUPE`	Population with higher education (highest level)	integer	SEL	0%	95	14606, 98, 171, 347, 226

Extension Fields (76) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`dept_code`	dept_code	integer	0%	3	18, 18, 18, 18, 18
`MPIO_CCDGO`	MPIO_CCDGO	integer	0%	90	001, 029, 094, 247, 256
`STCTNENCUE`	STCTNENCUE	integer	0%	100	71877, 2825, 4243, 8809, 5795
`STP3_1_SI`	STP3_1_SI	integer	0%	55	32, 24, 54, 0, 0
`STP3_2_NO`	STP3_2_NO	integer	0%	100	71845, 2801, 4189, 8809, 5795
`STP3A_RI`	STP3A_RI	integer	0%	53	32, 24, 54, 0, 0
`STP3B_TCN`	STP3B_TCN	integer	0%	8	0, 0, 0, 0, 0
`STP4_1_SI`	STP4_1_SI	integer	0%	34	0, 0, 1, 0, 0
`STP4_2_NO`	STP4_2_NO	integer	0%	99	71877, 2825, 4242, 8809, 5795
`STP9_1_USO`	STP9_1_USO	integer	0%	100	61176, 1826, 3223, 6598, 4891
`STP9_2_USO`	STP9_2_USO	integer	0%	86	2178, 49, 109, 357, 204
`STP9_3_USO`	STP9_3_USO	integer	0%	100	8436, 948, 900, 1850, 695
`STP9_4_USO`	STP9_4_USO	integer	0%	25	87, 2, 11, 4, 5
`STP9_2_1_M`	STP9_2_1_M	integer	0%	33	39, 3, 4, 11, 4
`STP9_2_2_M`	STP9_2_2_M	integer	0%	93	1550, 34, 99, 259, 161
`STP9_2_3_M`	STP9_2_3_M	integer	0%	72	566, 12, 6, 87, 38
`STP9_2_4_M`	STP9_2_4_M	integer	0%	34	18, 0, 0, 0, 1
`STP9_2_9_M`	STP9_2_9_M	integer	0%	15	5, 0, 0, 0, 0
`STP9_3_1_N`	STP9_3_1_N	integer	0%	40	54, 3, 8, 21, 5
`STP9_3_2_N`	STP9_3_2_N	integer	0%	97	2591, 21, 88, 334, 239
`STP9_3_3_N`	STP9_3_3_N	integer	0%	85	1061, 32, 6, 124, 104
`STP9_3_4_N`	STP9_3_4_N	integer	0%	89	535, 728, 2, 807, 4
`STP9_3_5_N`	STP9_3_5_N	integer	0%	69	368, 53, 61, 89, 70
`STP9_3_6_N`	STP9_3_6_N	integer	0%	100	3172, 92, 626, 361, 211
`STP9_3_7_N`	STP9_3_7_N	integer	0%	62	233, 5, 8, 42, 16
`STP9_3_8_N`	STP9_3_8_N	integer	0%	14	7, 0, 0, 0, 0
`STP9_3_9_N`	STP9_3_9_N	integer	0%	44	19, 0, 8, 27, 0
`STP9_3_10`	STP9_3_10	integer	0%	82	371, 14, 93, 39, 45
+46 more extension fields — download the CSV/Parquet to see them all.

COL Departamento Administrativo Nacional de Estadistica (DANE) COL-DANE_PROYECCIONES Census

69,699 rows · 5 table(s) · 2025 Departamento Administrativo Nacional de Estadistica (DANE) 0 1 2 3 10 SEL ▶

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)

COL Dane Proyecciones - Proyecciones Area (admin_0) — 121 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	string	SEL	0%	1	COL, COL, COL, COL, COL
`admin_name`	admin_name	string	SEL	0%	1	Colombia, Colombia, Colombia, Colombia, Colombia

Pending (5) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0, admin_0, admin_0, admin_0, admin_0
`year`	year	integer	0%	100	1950, 1951, 1952, 1953, 1954
`population_cabecera`	population_cabecera	integer	0%	100	5191533, 5428140, 5548402, 5730799, 5927863
`population_centros_poblados_rural_disperso`	population_centros_poblados_rural_disperso	integer	0%	100	8379410, 8484807, 8721390, 8910628, 9100100
`population_total`	population_total	integer	0%	100	13570943, 13912947, 14269792, 14641427, 15027963

COL Dane Proyecciones - Proyecciones Sexo Edad (admin_0) — 121 rows, 311 columns

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Field details — 311 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	string	SEL	0%	1	COL, COL, COL, COL, COL
`admin_name`	admin_name	string	SEL	0%	1	Colombia, Colombia, Colombia, Colombia, Colombia

Pending (309) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0, admin_0, admin_0, admin_0, admin_0
`year`	year	integer	0%	100	1950, 1951, 1952, 1953, 1954
`area_geografica`	area_geografica	string	0%	1	total, total, total, total, total
`hombres_0`	hombres_0	integer	0%	100	263402, 267780, 275645, 283507, 291592
`hombres_1`	hombres_1	integer	0%	100	243499, 249506, 253950, 261808, 269655
`hombres_2`	hombres_2	integer	0%	100	233589, 239437, 245468, 249892, 257705
`hombres_3`	hombres_3	integer	0%	100	225248, 230969, 236827, 242873, 247261
`hombres_4`	hombres_4	integer	0%	100	217591, 223257, 228983, 234853, 240909
`hombres_5`	hombres_5	integer	0%	100	210515, 215965, 221638, 227373, 233251
`hombres_6`	hombres_6	integer	0%	100	203825, 209157, 214616, 220295, 226036
`hombres_7`	hombres_7	integer	0%	100	197459, 202682, 208012, 213474, 219156
`hombres_8`	hombres_8	integer	0%	100	191521, 196472, 201702, 207033, 212494
`hombres_9`	hombres_9	integer	0%	100	186007, 190660, 195601, 200830, 206159
`hombres_10`	hombres_10	integer	0%	100	181460, 185212, 189855, 194793, 200018
`hombres_11`	hombres_11	integer	0%	100	177324, 180677, 184431, 189070, 194004
`hombres_12`	hombres_12	integer	0%	100	173752, 176528, 179880, 183631, 188264
`hombres_13`	hombres_13	integer	0%	100	170824, 172911, 175687, 179037, 182784
`hombres_14`	hombres_14	integer	0%	100	168528, 169890, 171986, 174763, 178110
`hombres_15`	hombres_15	integer	0%	100	165255, 167508, 168873, 170971, 173748
`hombres_16`	hombres_16	integer	0%	100	162493, 164136, 166386, 167758, 169858
`hombres_17`	hombres_17	integer	0%	100	159255, 161272, 162913, 165165, 166545
`hombres_18`	hombres_18	integer	0%	100	155083, 157921, 159932, 161579, 163831
`hombres_19`	hombres_19	integer	0%	100	150259, 153625, 156460, 158470, 160119
`hombres_20`	hombres_20	integer	0%	100	145538, 148710, 152067, 154890, 156897
`hombres_21`	hombres_21	integer	0%	100	140803, 143919, 147071, 150411, 153219
`hombres_22`	hombres_22	integer	0%	100	135766, 139109, 142211, 145342, 148662
`hombres_23`	hombres_23	integer	0%	100	130410, 134040, 137353, 140432, 143541
`hombres_24`	hombres_24	integer	0%	100	124808, 128669, 132267, 135554, 138608
`hombres_25`	hombres_25	integer	0%	100	119296, 123063, 126895, 130459, 133716
`hombres_26`	hombres_26	integer	0%	100	113807, 117583, 121305, 125097, 128627
+279 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 2 table(s)

COL Dane Proyecciones - Proyecciones Area (admin_1) — 2,178 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	13	05, 05, 05, 05, 05
`admin_name`	admin_name	string	SEL	0%	13	Antioquia, Antioquia, Antioquia, Antioquia, Antioquia

Pending (7) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`dept_code`	dept_code	integer	0%	13	05, 05, 05, 05, 05
`dept_name`	dept_name	string	0%	13	Antioquia, Antioquia, Antioquia, Antioquia, Antioquia
`year`	year	integer	0%	8	1985, 1986, 1987, 1988, 1989
`population_cabecera`	population_cabecera	integer	0%	100	2557837, 2633904, 2711082, 2788369, 2864927
`population_centros_poblados_rural_disperso`	population_centros_poblados_rural_disperso	integer	0%	100	1437147, 1439272, 1441450, 1443171, 1444118
`population_total`	population_total	integer	0%	100	3994984, 4073176, 4152532, 4231540, 4309045

COL Dane Proyecciones - Proyecciones Sexo Edad (admin_1) — 2,178 rows, 313 columns

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Field details — 313 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	13	05, 05, 05, 05, 05
`admin_name`	admin_name	string	SEL	0%	13	Antioquia, Antioquia, Antioquia, Antioquia, Antioquia

Pending (311) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`dept_code`	dept_code	integer	0%	13	05, 05, 05, 05, 05
`dept_name`	dept_name	string	0%	13	Antioquia, Antioquia, Antioquia, Antioquia, Antioquia
`year`	year	integer	0%	8	1985, 1986, 1987, 1988, 1989
`area_geografica`	area_geografica	string	0%	1	total, total, total, total, total
`hombres_0`	hombres_0	integer	0%	99	49125, 49697, 50952, 51791, 52445
`hombres_1`	hombres_1	integer	0%	100	48404, 48716, 49310, 50535, 51420
`hombres_2`	hombres_2	integer	0%	99	47983, 48281, 48631, 49218, 50386
`hombres_3`	hombres_3	integer	0%	100	47513, 47996, 48319, 48690, 49256
`hombres_4`	hombres_4	integer	0%	100	46721, 47574, 48074, 48411, 48792
`hombres_5`	hombres_5	integer	0%	100	45417, 46803, 47661, 48166, 48509
`hombres_6`	hombres_6	integer	0%	100	43769, 45504, 46885, 47738, 48236
`hombres_7`	hombres_7	integer	0%	100	42091, 43851, 45572, 46941, 47778
`hombres_8`	hombres_8	integer	0%	100	40460, 42168, 43904, 45605, 46955
`hombres_9`	hombres_9	integer	0%	100	39334, 40529, 42212, 43924, 45600
`hombres_10`	hombres_10	integer	0%	100	38894, 39390, 40559, 42221, 43909
`hombres_11`	hombres_11	integer	0%	99	39106, 38935, 39410, 40555, 42196
`hombres_12`	hombres_12	integer	0%	100	39515, 39133, 38941, 39397, 40519
`hombres_13`	hombres_13	integer	0%	100	40170, 39527, 39128, 38916, 39350
`hombres_14`	hombres_14	integer	0%	100	41019, 40167, 39507, 39090, 38852
`hombres_15`	hombres_15	integer	0%	98	42073, 41007, 40135, 39449, 39009
`hombres_16`	hombres_16	integer	0%	100	43195, 42047, 40960, 40064, 39344
`hombres_17`	hombres_17	integer	0%	99	44204, 43155, 41981, 40866, 39938
`hombres_18`	hombres_18	integer	0%	100	45076, 44145, 43071, 41863, 40711
`hombres_19`	hombres_19	integer	0%	100	45492, 45004, 44039, 42932, 41684
`hombres_20`	hombres_20	integer	0%	99	45322, 45412, 44887, 43880, 42731
`hombres_21`	hombres_21	integer	0%	100	44748, 45245, 45291, 44720, 43662
`hombres_22`	hombres_22	integer	0%	100	43880, 44689, 45131, 45121, 44491
`hombres_23`	hombres_23	integer	0%	100	42861, 43828, 44580, 44957, 44877
`hombres_24`	hombres_24	integer	0%	99	41579, 42799, 43700, 44385, 44688
+281 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

COL Dane Proyecciones - Proyecciones Area (admin_2) — 65,101 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_name`	admin_name	string	SEL	0%	10	Medellín, Medellín, Medellín, Medellín, Medellín
`admin_code`	admin_code	integer	SEL	0%	10	05001, 05001, 05001, 05001, 05001

Pending (7) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`dept_code`	dept_code	integer	0%	1	05, 05, 05, 05, 05
`dept_name`	dept_name	string	0%	1	Antioquia, Antioquia, Antioquia, Antioquia, Antioquia
`year`	year	integer	0%	10	1985, 1986, 1987, 1988, 1989
`population_cabecera`	population_cabecera	integer	0%	100	1393864, 1421745, 1453959, 1486275, 1518299
`population_centros_poblados_rural_disperso`	population_centros_poblados_rural_disperso	integer	0%	98	56313, 56223, 55886, 55543, 55161
`population_total`	population_total	integer	0%	99	1450177, 1477968, 1509845, 1541818, 1573460

COL Departamento Administrativo Nacional de Estadistica (DANE) COL-DANE_DIVIPOLA Administrative Registry

9,575 rows · 3 table(s) · 2025 Departamento Administrativo Nacional de Estadistica (DANE) 0 1 2 3 6 SEL ▶

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)

COL Dane Divipola - Divipola (admin_1) — 33 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	33	05, 08, 11, 13, 15
`admin_name`	admin_name	string	SEL	0%	33	ANTIOQUIA, ATLÁNTICO, BOGOTÁ, D.C., BOLÍVAR, BOYACÁ

Pending (5) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`area_km2`	area_km2	float	0%	33	62788.73306845, 3324.29576161, 1620.54083433,...
`divipola_vintage_year`	divipola_vintage_year	integer	0%	2	2025, 2025, 2025, 2025, 2024
`year_created`	year_created	integer	0%	15	1886, 1910, 1538, 1886, 1886
`legal_act`	legal_act	string	0%	24	Constitucion Politica de 1886, Ley 21 de 1910,...

2 Admin 2 — 1 table(s)

COL Dane Divipola - Divipola (admin_2) — 1,122 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	100	15720, 15723, 15740, 15753, 15755
`admin_name`	admin_name	string	SEL	0%	99	SATIVANORTE, SATIVASUR, SIACHOQUE, SOATÁ, SOCOTÁ

Pending (8) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`dept_code`	dept_code	integer	0%	4	15, 15, 15, 15, 15
`dept_name`	dept_name	string	0%	4	BOYACÁ, BOYACÁ, BOYACÁ, BOYACÁ, BOYACÁ
`municipio_code_short`	municipio_code_short	integer	0%	94	720, 723, 740, 753, 755
`unit_type`	unit_type	string	0%	1	MUNICIPIO, MUNICIPIO, MUNICIPIO, MUNICIPIO, MUNICIPIO
`area_km2`	area_km2	float	0%	100	161.07008221, 54.6258375, 119.00719675, 122.83096514,...
`divipola_vintage_year`	divipola_vintage_year	integer	0%	2	2024, 2024, 2024, 2024, 2024
`creation_act`	creation_act	string	0%	77	1754, 1878, Decreto 2871 de 1982, 1729, 1827

3 Admin 3 — 1 table(s)

COL Dane Divipola - Divipola (admin_3) — 8,420 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	100	15218000, 15223000, 15550000, 15224000, 15226000
`admin_name`	admin_name	string	SEL	0%	100	COVARACHÍA, CUBARÁ, PISBA, CUCAITA, CUÍTIVA

Pending (14) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`dept_code`	dept_code	integer	0%	6	15, 15, 15, 15, 15
`municipio_code`	municipio_code	integer	0%	61	15218, 15223, 15550, 15224, 15226
`municipio_code_short`	municipio_code_short	integer	0%	61	218, 223, 550, 224, 226
`zona_urbana_code`	zona_urbana_code	integer	0%	23	000, 000, 000, 000, 000
`dane_full_code`	dane_full_code	integer	0%	100	15218100000000, 15223100000000, 15550100000000,...
`area_m2`	area_m2	float	0%	100	102117.0234085, 1009596.92927324, 192395.59095102,...
`elevation_m`	elevation_m	float	0%	99	2339.0, 359.0, 1490.0, 2640.0, 2359.0
`divipola_vintage_year`	divipola_vintage_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`clase_code`	clase_code	integer	0%	2	1, 1, 1, 1, 1
`sector_rural_code`	sector_rural_code	integer	0%	11	000, 000, 000, 000, 000
`sector_rural_code_full`	sector_rural_code_full	integer	0%	87	152181000, 152231000, 155501000, 152241000, 152261000
`seccion_rural_code`	seccion_rural_code	integer	0%	10	00, 00, 00, 00, 00
`seccion_rural_code_full`	seccion_rural_code_full	integer	0%	93	15218100000, 15223100000, 15550100000, 15224100000, 15226100000

COL Unidad Administrativa Especial Migracion Colombia COL-MIGRACION_COL Migration

5,950 rows · 4 table(s) · 2023 Unidad Administrativa Especial Migracion Colombia 0 1 2 3 ▶

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)

COL Migracion Col - Entradas Extranjeros — 2,872 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0, admin_0, admin_0, admin_0, admin_0
`admin_code`	admin_code	string	0%	1	COL, COL, COL, COL, COL
`admin_name`	admin_name	string	0%	1	Colombia, Colombia, Colombia, Colombia, Colombia
`year`	year	integer	0%	1	2012, 2012, 2012, 2012, 2012
`entradas_counterpart`	entradas_counterpart	string	0%	100	Afganistán, Albania, Alemania, Andorra, Angola
`entradas_total`	entradas_total	integer	0%	75	5, 44, 42525, 124, 29
`entradas_female`	entradas_female	integer	0%	64	0, 15, 16149, 17, 10
`entradas_male`	entradas_male	integer	0%	74	5, 29, 26376, 107, 19
`entradas_unspecified`	entradas_unspecified	integer	0%	1	0, 0, 0, 0, 0

COL Migracion Col - Etpm Departamental (admin_0) — 3 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Extension Fields (16) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0, admin_0, admin_0
`admin_code`	admin_code	string	0%	1	COL, COL, COL
`admin_name`	admin_name	string	0%	1	En Revision (departamento sin asignar), En Revision...
`year`	year	integer	0%	3	2021, 2022, 2023
`etpm_preregistrations`	etpm_preregistrations	integer	0%	3	1182, 770, 498
`etpm_sexo_femenino`	etpm_sexo_femenino	integer	0%	3	564, 365, 265
`etpm_sexo_masculino`	etpm_sexo_masculino	integer	0%	3	618, 405, 233
`etpm_edad_0_a_7_aos`	etpm_edad_0_a_7_aos	integer	0%	3	85, 18, 44
`etpm_edad_18_a_29_aos`	etpm_edad_18_a_29_aos	integer	0%	3	449, 285, 107
`etpm_edad_30_a_39_aos`	etpm_edad_30_a_39_aos	integer	0%	3	285, 189, 103
`etpm_edad_40_a_49_aos`	etpm_edad_40_a_49_aos	integer	0%	3	139, 98, 41
`etpm_edad_50_a_59_aos`	etpm_edad_50_a_59_aos	integer	0%	3	68, 64, 37
`etpm_edad_60_a_69_aos`	etpm_edad_60_a_69_aos	integer	0%	3	21, 42, 40
`etpm_edad_70_o_ms_aos`	etpm_edad_70_o_ms_aos	integer	0%	3	13, 14, 10
`etpm_edad_8_a_17_aos`	etpm_edad_8_a_17_aos	integer	0%	3	118, 60, 116
`etpm_edad_en_revisin`	etpm_edad_en_revisin	integer	67%	1	4

COL Migracion Col - Salidas Colombianos — 2,977 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0, admin_0, admin_0, admin_0, admin_0
`admin_code`	admin_code	string	0%	1	COL, COL, COL, COL, COL
`admin_name`	admin_name	string	0%	1	Colombia, Colombia, Colombia, Colombia, Colombia
`year`	year	integer	0%	1	2012, 2012, 2012, 2012, 2012
`salidas_counterpart`	salidas_counterpart	string	0%	100	Afganistán, Albania, Alemania, Andorra, Angola
`salidas_total`	salidas_total	integer	0%	77	406, 8, 22786, 26, 178
`salidas_female`	salidas_female	integer	0%	69	38, 6, 11825, 20, 23
`salidas_male`	salidas_male	integer	0%	69	368, 2, 10961, 6, 155
`salidas_unspecified`	salidas_unspecified	integer	0%	1	0, 0, 0, 0, 0

1 Admin 1 — 1 table(s)

COL Migracion Col - Etpm Departamental (admin_1) — 98 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Extension Fields (16) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_code`	admin_code	integer	0%	33	05, 05, 05, 08, 08
`admin_name`	admin_name	string	0%	33	Antioquia, Antioquia, Antioquia, Atlántico, Atlántico
`year`	year	integer	0%	3	2021, 2022, 2023, 2021, 2022
`etpm_preregistrations`	etpm_preregistrations	integer	0%	97	241039, 90759, 10157, 118336, 41850
`etpm_sexo_femenino`	etpm_sexo_femenino	integer	0%	95	120366, 45126, 4901, 65219, 22458
`etpm_sexo_masculino`	etpm_sexo_masculino	integer	0%	96	120658, 45620, 5254, 53109, 19384
`etpm_sexo_otro`	etpm_sexo_otro	integer	60%	11	15, 13, 2, 8, 8
`etpm_edad_0_a_7_aos`	etpm_edad_0_a_7_aos	integer	2%	94	24042, 15485, 2969, 13478, 7616
`etpm_edad_18_a_29_aos`	etpm_edad_18_a_29_aos	integer	0%	89	85399, 30242, 1165, 36927, 11276
`etpm_edad_30_a_39_aos`	etpm_edad_30_a_39_aos	integer	2%	88	52042, 12728, 705, 23285, 5443
`etpm_edad_40_a_49_aos`	etpm_edad_40_a_49_aos	integer	2%	82	26686, 6932, 444, 13695, 3197
`etpm_edad_50_a_59_aos`	etpm_edad_50_a_59_aos	integer	5%	79	13419, 4352, 294, 6847, 1810
`etpm_edad_60_a_69_aos`	etpm_edad_60_a_69_aos	integer	10%	76	5115, 2087, 201, 2647, 927
`etpm_edad_70_o_ms_aos`	etpm_edad_70_o_ms_aos	integer	12%	62	1408, 681, 97, 754, 374
`etpm_edad_8_a_17_aos`	etpm_edad_8_a_17_aos	integer	1%	95	32928, 18252, 4282, 20702, 11207

COL Unidad para la Atencion y Reparacion Integral a las Victimas (UARIV) COL-RUV Migration

2,251 rows · 3 table(s) · 2026 Unidad para la Atencion y Reparacion Integral a las Victimas (UARIV) 0 1 2 3 ▶

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)

COL Ruv - Ruv Municipal (admin_0) — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`admin_code`	admin_code	string	0%	1	COL
`admin_name`	admin_name	string	0%	1	SIN DEFINIR (municipio no determinado)
`snapshot_date`	snapshot_date	string	0%	1	2026-06-30
`victims_ocurrencia`	victims_ocurrencia	integer	0%	1	95280
`victims_declaracion`	victims_declaracion	integer	0%	1	148861
`victims_ubicacion`	victims_ubicacion	integer	0%	1	1695814
`victims_sujetos_atencion`	victims_sujetos_atencion	integer	0%	1	773858
`eventos`	eventos	integer	0%	1	96573

2 Admin 2 — 2 table(s)

COL Ruv - Ruv Municipal (admin_2) — 1,125 rows, 25 columns

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Field details — 25 fields (type, nulls, unique, samples)

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`admin_code`	admin_code	integer	0%	100	05001, 05002, 05004, 05021, 05030
`admin_name`	admin_name	string	0%	100	Medellin, Abejorral, Abriaqui, Alejandria, Amaga
`dept_code`	dept_code	integer	0%	1	05, 05, 05, 05, 05
`dept_name`	dept_name	string	0%	1	Antioquia, Antioquia, Antioquia, Antioquia, Antioquia
`snapshot_date`	snapshot_date	string	0%	1	2026-06-30, 2026-06-30, 2026-06-30, 2026-06-30, 2026-06-30
`victims_ocurrencia`	victims_ocurrencia	integer	0%	100	244413, 11962, 2444, 7067, 3726
`victims_declaracion`	victims_declaracion	integer	0%	100	780365, 5202, 1704, 5589, 2256
`victims_ubicacion`	victims_ubicacion	integer	0%	99	446456, 4909, 1186, 3289, 2941
`victims_sujetos_atencion`	victims_sujetos_atencion	integer	0%	99	389323, 4349, 899, 2920, 2431
`eventos`	eventos	integer	0%	100	296416, 13954, 2736, 8544, 4480
`victims_etnia_afrocolombiano_acreditado_ra`	victims_etnia_afrocolombiano_acreditado_ra	integer	10%	28	913, 1, 0, 1, 1
`victims_etnia_gitano_a_rom`	victims_etnia_gitano_a_rom	integer	22%	20	140, 3, 0, 2, 1
`victims_etnia_gitano_rrom_acreditado_ra`	victims_etnia_gitano_rrom_acreditado_ra	integer	61%	6	7, 0, 0, 4, 0
`victims_etnia_indigena`	victims_etnia_indigena	integer	0%	65	3524, 15, 7, 3, 15
`victims_etnia_indigena_acreditado_ra`	victims_etnia_indigena_acreditado_ra	integer	0%	49	3128, 16, 1, 7, 16
`victims_etnia_negro_acreditado_ra`	victims_etnia_negro_acreditado_ra	integer	96%	2	1, 0, 0, 0
`victims_etnia_negro_a_o_afrocolombiano_a`	victims_etnia_negro_a_o_afrocolombiano_a	integer	0%	81	34575, 56, 16, 28, 77
`victims_etnia_ninguna`	victims_etnia_ninguna	integer	0%	99	403739, 4814, 1160, 3251, 2826
`victims_etnia_palenquero`	victims_etnia_palenquero	integer	35%	13	77, 1, 1, 2, 2
`victims_etnia_raizal_del_archipielago_de_san_andres_y_providencia`	victims_etnia_raizal_del_archipielago_de_san_andres_y_providencia	integer	5%	25	352, 3, 2, 0, 4
`victims_sexo_hombre`	victims_sexo_hombre	integer	0%	100	204632, 2520, 611, 1604, 1369
`victims_sexo_intersexual`	victims_sexo_intersexual	integer	65%	7	20, 0, 1, 3, 0
`victims_sexo_mujer`	victims_sexo_mujer	integer	0%	100	241776, 2389, 575, 1685, 1572
`victims_sexo_sin_informacin`	victims_sexo_sin_informacin	integer	38%	6	28, 0, 0, 0, 0

COL Ruv - Ruv Municipal Hecho — 1,125 rows, 21 columns

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Field details — 21 fields (type, nulls, unique, samples)

Extension Fields (21) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`admin_code`	admin_code	integer	0%	100	05001, 05002, 05004, 05021, 05030
`admin_name`	admin_name	string	0%	100	Medellin, Abejorral, Abriaqui, Alejandria, Amaga
`snapshot_date`	snapshot_date	string	0%	1	2026-06-30, 2026-06-30, 2026-06-30, 2026-06-30, 2026-06-30
`victims_hecho_total`	victims_hecho_total	integer	0%	100	281908, 13109, 2659, 7697, 4347
`victims_hecho_lesiones_personales_fisicas`	victims_hecho_lesiones_personales_fisicas	integer	1%	42	476, 6, 0, 4, 5
`victims_hecho_desaparicin_forzada`	victims_hecho_desaparicin_forzada	integer	0%	87	6283, 127, 5, 87, 69
`victims_hecho_desplazamiento_forzado`	victims_hecho_desplazamiento_forzado	integer	0%	100	145372, 10851, 2124, 6494, 2387
`victims_hecho_abandono_o_despojo_forzado_de_tierras`	victims_hecho_abandono_o_despojo_forzado_de_tierras	integer	6%	48	4, 44, 9, 17, 0
`victims_hecho_tortura`	victims_hecho_tortura	integer	1%	35	244, 12, 6, 8, 19
`victims_hecho_delitos_contra_la_libertad_y_la_integridad_sexual_en_desarrollo_del_conflicto_armado`	victims_hecho_delitos_contra_la_libertad_y_la_integridad_sexual_en_desarrollo_del_conflicto_armado	integer	0%	58	550, 28, 0, 21, 11
`victims_hecho_homicidio`	victims_hecho_homicidio	integer	0%	98	97236, 1188, 358, 696, 1284
`victims_hecho_amenaza`	victims_hecho_amenaza	integer	0%	97	27189, 652, 89, 225, 447
`victims_hecho_vinculacin_de_nios_nias_y_adolescentes_a_actividades_relacionadas_con_grupos_armados`	victims_hecho_vinculacin_de_nios_nias_y_adolescentes_a_actividades_relacionadas_con_grupos_armados	integer	4%	36	206, 2, 2, 0, 0
`victims_hecho_secuestro`	victims_hecho_secuestro	integer	0%	65	533, 81, 53, 83, 19
`victims_hecho_acto_terrorista_atentados_combates_enfrentamientos_hostigamientos`	victims_hecho_acto_terrorista_atentados_combates_enfrentamientos_hostigamientos	integer	0%	64	1505, 49, 8, 20, 14
`victims_hecho_minas_antipersonal_municin_sin_explotar_y_artefacto_explosivo_improvisado`	victims_hecho_minas_antipersonal_municin_sin_explotar_y_artefacto_explosivo_improvisado	integer	5%	35	30, 6, 0, 9, 0
`victims_hecho_confinamiento`	victims_hecho_confinamiento	integer	13%	11	0, 0, 0, 0, 0
`victims_hecho_perdida_de_bienes_muebles_o_inmuebles`	victims_hecho_perdida_de_bienes_muebles_o_inmuebles	integer	0%	70	1052, 43, 10, 26, 12
`victims_hecho_sin_informacion`	victims_hecho_sin_informacion	integer	7%	49	418, 0, 0, 0, 85
`victims_hecho_lesiones_personales_psicologicas`	victims_hecho_lesiones_personales_psicologicas	integer	2%	39	810, 20, 1, 9, 6

COL Departamento Administrativo Nacional de Estadistica (DANE) COL-DANE_ETNICO Ethnolinguistic

1,968 rows · 3 table(s) · 2018 Departamento Administrativo Nacional de Estadistica (DANE) 0 1 2 3 6 SEL 2 CCL 27 ext ▶

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)

COL Dane Etnico - Etnico Departamental — 33 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	33	05, 08, 11, 13, 15
`admin_name`	admin_name	string	SEL	0%	33	ANTIOQUIA, ATLÁNTICO, BOGOTÁ, D.C., BOLÍVAR, BOYACÁ
`pct_etnica_total`	pct_etnica_total	float	CCL	0%	33	5.855939993184696, 7.655154305768135,...

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`pct_indigena`	pct_indigena	float	0%	31	0.63, 1.67, 0.27, 0.27, 0.63
`pct_rrom`	pct_rrom	float	6%	3	0.0, 0.0, 0.01, 0.0, 0.0
`pct_palenquero`	pct_palenquero	float	3%	6	0.0, 0.04, 0.0, 0.21, 0.0
`pct_afrocolombiano`	pct_afrocolombiano	float	0%	32	5.21, 5.93, 0.91, 16.49, 0.37
`pct_raizal`	pct_raizal	float	0%	5	0.01, 0.02, 0.01, 0.03, 0.01
`population_etnica_total`	population_etnica_total	integer	0%	33	349880, 179304, 86600, 324631, 11416

2 Admin 2 — 1 table(s)

COL Dane Etnico - Etnico Municipal — 1,122 rows, 15 columns

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Field details — 15 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	100	05001, 05002, 05004, 05021, 05030
`admin_name`	admin_name	string	SEL	0%	100	MEDELLÍN, ABEJORRAL, ABRIAQUÍ, ALEJANDRÍA, AMAGÁ
`pct_etnica_total`	pct_etnica_total	float	CCL	0%	100	2.594917233268559, 0.3636570259673845,...

Extension Fields (12) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`population_indigena`	population_indigena	integer	15%	52	2071, 2, 9, 2, 248
`pct_indigena`	pct_indigena	float	15%	40	0.09, 0.01, 0.03, 0.01, 0.65
`population_rrom`	population_rrom	integer	71%	7	48, 1, 2, 1, 4
`pct_rrom`	pct_rrom	float	71%	6	0.0, 0.05, 0.01, 0.0, 0.04
`population_palenquero`	population_palenquero	integer	72%	10	63, 3, 1, 4, 8
`pct_palenquero`	pct_palenquero	float	72%	6	0.0, 0.01, 0.0, 0.04, 0.01
`population_afrocolombiano`	population_afrocolombiano	integer	0%	85	59064, 62, 43, 12, 125
`pct_afrocolombiano`	pct_afrocolombiano	float	0%	71	2.49, 0.35, 1.99, 0.31, 0.47
`population_etnica_total`	population_etnica_total	integer	0%	82	61560, 64, 44, 12, 139
`dept_code`	dept_code	integer	0%	1	05, 05, 05, 05, 05

3 Admin 3 — 1 table(s)

COL Dane Etnico - Resguardos Lengua — 813 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	100	1001, 1002, 1003, 1004, 1005
`admin_name`	admin_name	string	SEL	0%	99	Predio Putumayo, Comeyafu, Curare-Los Ingleses, Puerto...

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	resguardo, resguardo, resguardo, resguardo, resguardo
`year`	year	integer	0%	1	2018, 2018, 2018, 2018, 2018
`native_language_speakers`	native_language_speakers	integer	15%	77	2416, 244, 107, 59, 83
`native_language_speaker_pct`	native_language_speaker_pct	float	15%	85	0.41165445561424435, 0.42287694974003465,...
`resguardo_population_2020`	resguardo_population_2020	integer	0%	95	1155, 792, 410, 194, 139
`dept_name`	dept_name	string	0%	9	AMAZONAS, AMAZONAS, AMAZONAS, AMAZONAS, AMAZONAS
`municipio_name`	municipio_name	string	0%	39	PUERTO SANTANDER, LA PEDRERA, LA PEDRERA, LA PEDRERA, LETICIA

COL Departamento Administrativo Nacional de Estadistica (DANE) COL-DANE_EEVV Census

1,242 rows · 3 table(s) · 2024 Departamento Administrativo Nacional de Estadistica (DANE) 0 1 2 3 6 SEL ▶

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)

COL Dane Eevv - Eevv Vital 2024 (admin_0) — 53 rows, 13 columns

Loading data…

Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	string	SEL	0%	53	COL, 75, 75008, 75012, 75028
`admin_name`	admin_name	string	SEL	0%	53	Total Nacional, Extranjero, Albania, Argelia, Antigua y Barbuda

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0, admin_0, admin_0, admin_0, admin_0
`year`	year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`births_total`	births_total	integer	51%	11	453901, 2448, 2, 1, 1
`births_male`	births_male	integer	51%	10	232784, 1264, 1, 0, 1
`births_female`	births_female	integer	51%	11	221095, 1184, 1, 1, 0
`births_cabecera`	births_cabecera	integer	51%	2	332568, 0, 0, 0, 0
`births_centros_poblados_rural_disperso`	births_centros_poblados_rural_disperso	integer	51%	2	13499, 0, 0, 0, 0
`deaths_total`	deaths_total	integer	9%	19	275778, 848, 1, 2, 4
`deaths_male`	deaths_male	integer	9%	15	151018, 523, 0, 2, 2
`deaths_female`	deaths_female	integer	9%	13	124705, 325, 1, 0, 2
`natural_increase`	natural_increase	integer	60%	15	178123, 1600, -1, -1, 0

1 Admin 1 — 1 table(s)

COL Dane Eevv - Eevv Vital 2024 (admin_1) — 33 rows, 13 columns

Loading data…

Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	33	05, 08, 11, 13, 15
`admin_name`	admin_name	string	SEL	0%	33	Antioquia, Atlántico, Bogotá, Bolívar, Boyacá

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`births_total`	births_total	integer	0%	33	52171, 26237, 56541, 24559, 10265
`births_male`	births_male	integer	0%	33	26916, 13510, 29135, 12625, 5113
`births_female`	births_female	integer	0%	33	25252, 12727, 27404, 11931, 5149
`births_cabecera`	births_cabecera	integer	0%	33	38034, 25525, 56435, 19680, 6397
`births_centros_poblados_rural_disperso`	births_centros_poblados_rural_disperso	integer	0%	32	1456, 263, 6, 1307, 78
`deaths_total`	deaths_total	integer	0%	33	38415, 15034, 36976, 10666, 7262
`deaths_male`	deaths_male	integer	0%	33	20437, 8012, 18904, 5885, 3949
`deaths_female`	deaths_female	integer	0%	33	17978, 7022, 18071, 4781, 3313
`natural_increase`	natural_increase	integer	0%	33	13756, 11203, 19565, 13893, 3003

2 Admin 2 — 1 table(s)

COL Dane Eevv - Eevv Vital 2024 (admin_2) — 1,156 rows, 14 columns

Loading data…

Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	admin_code	integer	SEL	0%	100	01999, 05001, 05002, 05004, 05021
`admin_name`	admin_name	string	SEL	0%	100	Sin Información, Medellín, Abejorral, Abriaquí, Alejandría

Pending (12) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`births_total`	births_total	integer	0%	86	8305, 17824, 127, 6, 30
`births_male`	births_male	integer	0%	80	4133, 9189, 71, 6, 13
`births_female`	births_female	integer	0%	81	4172, 8633, 56, 0, 16
`births_cabecera`	births_cabecera	integer	0%	76	0, 17417, 53, 3, 17
`births_centros_poblados_rural_disperso`	births_centros_poblados_rural_disperso	integer	0%	25	0, 94, 4, 0, 0
`deaths_total`	deaths_total	integer	0%	87	3739, 16342, 124, 13, 31
`deaths_male`	deaths_male	integer	0%	76	2790, 8246, 74, 10, 16
`deaths_female`	deaths_female	integer	0%	70	899, 8096, 50, 3, 15
`natural_increase`	natural_increase	integer	0%	81	4566, 1482, 3, -7, -1
`residual_bucket`	residual_bucket	boolean	99%	1	True

COL HDX COD — Population Statistics (OCHA/UNFPA) COL-COD_PS Census Derived Population

1,156 rows · 3 table(s) · 2025 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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)

COL Cod Ps - Col Codps (admin_0) — 1 rows, 70 columns

Loading data…

Field details — 70 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	CO
`region_name`	Region name	string	SEL	0%	1	Colombia
`F_TL`	Female population	integer	SEL	0%	1	27315756
`M_TL`	Male population	integer	SEL	0%	1	25900836
`T_TL`	Total population	integer	SEL	0%	1	53216592

Pending (65) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2025
`F_00_04`	Female population age 0-4	integer	0%	1	1839962
`F_05_09`	Female population age 5-9	integer	0%	1	1952626
`F_10_14`	Female population age 10-14	integer	0%	1	1960110
`F_15_19`	Female population age 15-19	integer	0%	1	1973444
`F_20_24`	Female population age 20-24	integer	0%	1	2052918
`F_25_29`	Female population age 25-29	integer	0%	1	2169409
`F_30_34`	Female population age 30-34	integer	0%	1	2155818
`F_35_39`	Female population age 35-39	integer	0%	1	2001388
`F_40_44`	Female population age 40-44	integer	0%	1	1879367
`F_45_49`	Female population age 45-49	integer	0%	1	1691080
`F_50_54`	Female population age 50-54	integer	0%	1	1538662
`F_55_59`	Female population age 55-59	integer	0%	1	1504220
`F_60_64`	Female population age 60-64	integer	0%	1	1375349
`F_65_69`	Female population age 65-69	integer	0%	1	1121101
`F_70_74`	Female population age 70-74	integer	0%	1	837062
`F_75_79`	Female population age 75-79	integer	0%	1	578684
`F_80_84`	Female population age 80-84	integer	0%	1	356649
`F_85_89`	Female population age 85-89	integer	0%	1	190014
`F_90_94`	Female population age 90-94	integer	0%	1	88322
`F_95_99`	Female population age 95-99	integer	0%	1	35071
`F_100Plus`	Female population age 100+	integer	0%	1	14500
`M_00_04`	Male population age 0-4	integer	0%	1	1913947
`M_05_09`	Male population age 5-9	integer	0%	1	2027408
`M_10_14`	Male population age 10-14	integer	0%	1	2036887
`M_15_19`	Male population age 15-19	integer	0%	1	2039480
`M_20_24`	Male population age 20-24	integer	0%	1	2092842
`M_25_29`	Male population age 25-29	integer	0%	1	2162694
`M_30_34`	Male population age 30-34	integer	0%	1	2094980
+35 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

COL Cod Ps - Col Codps (admin_1) — 33 rows, 70 columns

Loading data…

Field details — 70 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	33	CO91, CO05, CO81, CO88, CO08
`region_name`	Region name	string	SEL	0%	33	Amazonas, Antioquia, Arauca, Archipiélago de San Andrés,...
`F_TL`	Female population	integer	SEL	0%	33	42589, 3716573, 157788, 34399, 1481923
`M_TL`	Male population	integer	SEL	0%	33	44863, 3482295, 156725, 31870, 1412444
`T_TL`	Total population	integer	SEL	0%	33	87452, 7198868, 314513, 66269, 2894367

Pending (65) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`F_00_04`	Female population age 0-4	integer	0%	33	4626, 220621, 14062, 2167, 103845
`F_05_09`	Female population age 5-9	integer	0%	33	4727, 232310, 14820, 2408, 112983
`F_10_14`	Female population age 10-14	integer	0%	33	4798, 236988, 14157, 2366, 112595
`F_15_19`	Female population age 15-19	integer	0%	33	4539, 247339, 13546, 2302, 113188
`F_20_24`	Female population age 20-24	integer	0%	33	3826, 268579, 13360, 2153, 117135
`F_25_29`	Female population age 25-29	integer	0%	33	3164, 297261, 13844, 2243, 117413
`F_30_34`	Female population age 30-34	integer	0%	33	2947, 305609, 13366, 2566, 116553
`F_35_39`	Female population age 35-39	integer	0%	33	2756, 284335, 11667, 2478, 108910
`F_40_44`	Female population age 40-44	integer	0%	33	2457, 265176, 10209, 2339, 101813
`F_45_49`	Female population age 45-49	integer	0%	33	2034, 233263, 8739, 2181, 90399
`F_50_54`	Female population age 50-54	integer	0%	33	1670, 213628, 7627, 2207, 80286
`F_55_59`	Female population age 55-59	integer	0%	33	1425, 222814, 6677, 2454, 77728
`F_60_64`	Female population age 60-64	integer	0%	33	1174, 210923, 5332, 2442, 70785
`F_65_69`	Female population age 65-69	integer	0%	33	888, 172094, 3845, 1818, 56730
`F_70_74`	Female population age 70-74	integer	0%	33	663, 127487, 2622, 1118, 41777
`F_75_79`	Female population age 75-79	integer	0%	33	406, 86527, 1735, 672, 28249
`F_80_84`	Female population age 80-84	integer	0%	33	235, 50950, 1110, 331, 17158
`F_85_89`	Female population age 85-89	integer	0%	33	146, 25030, 618, 121, 8993
`F_90_94`	Female population age 90-94	integer	0%	31	75, 10409, 300, 28, 3821
`F_95_99`	Female population age 95-99	integer	0%	32	25, 3637, 113, 4, 1122
`F_100Plus`	Female population age 100+	integer	0%	30	8, 1593, 39, 1, 440
`M_00_04`	Male population age 0-4	integer	0%	33	4784, 231212, 14586, 2292, 108203
`M_05_09`	Male population age 5-9	integer	0%	33	4809, 243723, 15278, 2579, 117394
`M_10_14`	Male population age 10-14	integer	0%	33	4900, 248414, 14429, 2421, 116812
`M_15_19`	Male population age 15-19	integer	0%	33	4835, 256704, 13775, 2295, 116125
`M_20_24`	Male population age 20-24	integer	0%	33	4450, 276278, 13699, 2313, 117792
`M_25_29`	Male population age 25-29	integer	0%	33	3715, 303016, 13792, 2462, 117048
`M_30_34`	Male population age 30-34	integer	0%	33	3140, 304553, 13070, 2589, 114129
+35 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

COL Cod Ps - Col Codps (admin_2) — 1,122 rows, 70 columns

Loading data…

Field details — 70 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	CO91263, CO91405, CO91407, CO91430, CO91001
`region_name`	Region name	string	SEL	0%	100	El Encanto, La Chorrera, La Pedrera, La Victoria, Leticia
`F_TL`	Female population	integer	SEL	0%	99	990, 1360, 1988, 360, 27754
`M_TL`	Male population	integer	SEL	0%	100	1189, 1733, 2143, 345, 28261
`T_TL`	Total population	integer	SEL	0%	100	2179, 3093, 4131, 705, 56015

Pending (65) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`F_00_04`	Female population age 0-4	integer	0%	97	127, 153, 238, 39, 2791
`F_05_09`	Female population age 5-9	integer	0%	98	131, 225, 237, 32, 2857
`F_10_14`	Female population age 10-14	integer	0%	100	123, 236, 251, 30, 2881
`F_15_19`	Female population age 15-19	integer	0%	96	101, 174, 247, 29, 2785
`F_20_24`	Female population age 20-24	integer	0%	98	67, 91, 203, 22, 2479
`F_25_29`	Female population age 25-29	integer	0%	96	52, 57, 148, 20, 2167
`F_30_34`	Female population age 30-34	integer	0%	98	53, 55, 118, 20, 2095
`F_35_39`	Female population age 35-39	integer	0%	98	55, 62, 108, 21, 1950
`F_40_44`	Female population age 40-44	integer	0%	97	51, 62, 99, 25, 1719
`F_45_49`	Female population age 45-49	integer	0%	98	48, 49, 84, 25, 1427
`F_50_54`	Female population age 50-54	integer	0%	99	39, 34, 62, 25, 1195
`F_55_59`	Female population age 55-59	integer	0%	95	31, 28, 49, 20, 1022
`F_60_64`	Female population age 60-64	integer	0%	95	30, 25, 42, 11, 811
`F_65_69`	Female population age 65-69	integer	0%	92	30, 28, 37, 9, 579
`F_70_74`	Female population age 70-74	integer	0%	95	25, 33, 29, 8, 424
`F_75_79`	Female population age 75-79	integer	0%	97	14, 17, 14, 5, 273
`F_80_84`	Female population age 80-84	integer	0%	89	9, 15, 7, 4, 155
`F_85_89`	Female population age 85-89	integer	0%	76	4, 12, 6, 5, 85
`F_90_94`	Female population age 90-94	integer	0%	53	0, 4, 6, 7, 41
`F_95_99`	Female population age 95-99	integer	0%	36	0, 0, 2, 2, 14
`F_100Plus`	Female population age 100+	integer	0%	21	0, 0, 1, 1, 4
`M_00_04`	Male population age 0-4	integer	0%	98	142, 195, 232, 34, 2921
`M_05_09`	Male population age 5-9	integer	0%	96	137, 249, 232, 26, 2886
`M_10_14`	Male population age 10-14	integer	0%	98	142, 277, 252, 27, 2830
`M_15_19`	Male population age 15-19	integer	0%	100	144, 230, 259, 35, 2846
`M_20_24`	Male population age 20-24	integer	0%	97	118, 142, 244, 28, 2782
`M_25_29`	Male population age 25-29	integer	0%	99	84, 86, 182, 21, 2446
`M_30_34`	Male population age 30-34	integer	0%	97	65, 72, 131, 20, 2142
+35 more pending fields — download the CSV/Parquet to see them all.

COL Global Data Lab COL-GDL Development Indices

1,156 rows · 1 table(s) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ 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)

COL GDL - Subnational Indices — 1,156 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	COL, COL, COL, COL, COL
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	34	Total, Amazonas, Antioquia (incl Medellin), Arauca,...
`human_development_index`	Human development index	float	SEL	0%	79	0.641, 0.694, 0.643, 0.671, 0.673
`health_index`	Health index	float	SEL	0%	46	0.749, 0.743, 0.764, 0.743, 0.762
`education_index`	Education index	float	SEL	0%	88	0.509, 0.643, 0.486, 0.566, 0.571
`income_index`	Income index	float	SEL	0%	71	0.691, 0.7, 0.716, 0.72, 0.701
`life_expectancy`	Life expectancy	float	SEL	0%	92	68.7, 68.3, 69.65, 68.28, 69.53
`mean_years_schooling`	Mean years schooling	float	SEL	0%	96	7.639, 10.76, 7.283, 9.003, 8.794

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

COL Organisation for Economic Co-operation and Development (OECD) COL-OECD_REGIONAL Development Indicators

759 rows · 1 table(s) · 2022 Organisation for Economic Co-operation and Development (OECD) 0 1 2 3 ▶

759 rows × 101 columns ingested. Field-level inventory in progress — contact us for the full export.

1 Admin 1 — 1 table(s)

COL Oecd Regional - Oecd Tl2 Demography — 759 rows, 101 columns

Loading data…

Field details — 101 fields (type, nulls, unique, samples)

Pending (101) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_code`	admin_code	integer	0%	5	05, 05, 05, 05, 05
`oecd_ref_area`	oecd_ref_area	string	0%	5	CO05, CO05, CO05, CO05, CO05
`territorial_level`	territorial_level	string	0%	1	TL2, TL2, TL2, TL2, TL2
`year`	year	integer	0%	23	2000, 2001, 2002, 2003, 2004
`pop_t_t_ps_km2`	pop_t_t_ps_km2	float	0%	100	80.58, 81.68, 82.75, 83.79, 84.83
`depend_ratio_y_lt15_t_pt_pop_y15t64`	depend_ratio_y_lt15_t_pt_pop_y15t64	float	0%	98	49.58, 48.86, 48.02, 47.06, 45.98
`pop_y_lt15_m_ps_km2`	pop_y_lt15_m_ps_km2	float	0%	92	12.66, 12.71, 12.73, 12.72, 12.69
`pop_y_lt15_f_ps`	pop_y_lt15_f_ps	float	0%	100	796367.0, 797474.0, 796642.0, 793623.0, 788265.0
`depend_ratio_y_lt20_t_pt_pop_y20t64`	depend_ratio_y_lt20_t_pt_pop_y20t64	float	0%	98	35.72, 35.55, 35.35, 35.16, 34.96
`pop_y_ge80_f_pt_pop`	pop_y_ge80_f_pt_pop	float	0%	70	1.29, 1.34, 1.39, 1.43, 1.48
`pop_y15t24_t_ps`	pop_y15t24_t_ps	float	0%	100	892137.0, 910467.0, 928396.0, 945471.0, 961806.0
`pop_y60t64_m_ps`	pop_y60t64_m_ps	float	0%	100	61959.0, 63866.0, 66036.0, 68569.0, 71379.0
`pop_y70t74_m_ps`	pop_y70t74_m_ps	float	0%	99	36902.0, 37978.0, 38983.0, 39893.0, 40753.0
`pop_y45t49_f_ps`	pop_y45t49_f_ps	float	0%	99	148955.0, 155311.0, 161809.0, 168417.0, 175042.0
`pop_y65t69_t_ps`	pop_y65t69_t_ps	float	0%	100	102711.0, 104402.0, 106429.0, 108954.0, 112196.0
`pop_y15t64_t_ps_km2`	pop_y15t64_t_ps_km2	float	0%	100	50.79, 51.68, 52.59, 53.54, 54.54
`pop_y15t19_m_ps`	pop_y15t19_m_ps	float	0%	100	234488.0, 237026.0, 239674.0, 242925.0, 247064.0
`pop_y35t39_t_ps`	pop_y35t39_t_ps	float	0%	100	402276.0, 407963.0, 410883.0, 410668.0, 407535.0
`pop_y_ge65_t_ps_km2`	pop_y_ge65_t_ps_km2	float	0%	99	4.61, 4.75, 4.9, 5.05, 5.22
`pop_y_lt15_m_pt_pop`	pop_y_lt15_m_pt_pop	float	0%	95	15.71, 15.56, 15.39, 15.18, 14.95
`pop_y_lt15_t_ps_km2`	pop_y_lt15_t_ps_km2	float	0%	96	25.18, 25.25, 25.26, 25.2, 25.08
`pop_y_ge65_t_pt_pop`	pop_y_ge65_t_pt_pop	float	0%	97	5.72, 5.82, 5.92, 6.03, 6.15
`pop_y15t64_m_pt_pop`	pop_y15t64_m_pt_pop	float	0%	92	29.85, 29.93, 30.05, 30.2, 30.39
`pop_y_ge65_m_ps`	pop_y_ge65_m_ps	float	0%	100	132910.0, 136988.0, 141190.0, 145547.0, 150137.0
`pop_y35t39_f_ps`	pop_y35t39_f_ps	float	0%	99	215170.0, 218577.0, 220488.0, 220675.0, 219273.0
`pop_y_lt5_m_ps`	pop_y_lt5_m_ps	float	0%	100	272458.0, 268954.0, 264758.0, 260211.0, 255549.0
`pop_y_ge80_t_pt_pop`	pop_y_ge80_t_pt_pop	float	0%	84	2.14, 2.23, 2.31, 2.39, 2.47
`pop_y65t69_m_ps`	pop_y65t69_m_ps	float	0%	100	49406.0, 50212.0, 51106.0, 52150.0, 53457.0
`pop_y30t34_t_ps`	pop_y30t34_t_ps	float	0%	100	410896.0, 402251.0, 393224.0, 384987.0, 378288.0
+71 more pending fields — download the CSV/Parquet to see them all.

COL USAID DHS Program COL-DHS Health Surveys

179 rows · 1 table(s) · 2015 USAID DHS Program 0 1 2 3 5 SEL 5 ext ▶

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)

COL DHS - Health Indicators — 179 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	88	39.8, 42.7, 48.1, 50.7, 60.7
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	30	21.0, 19.0, 32.0, 17.0, 14.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	35	28.0, 30.0, 38.0, 20.0, 17.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	29%	67	65.8, 73.6, 55.7, 78.4, 59.4

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	Colombia, Colombia, Colombia, Colombia, Colombia
`survey_year`	survey_year	integer	0%	7	2005, 2010, 2015, 2005, 2010
`region`	region	string	0%	30	Amazonas, Amazonas, Amazonas, Antioquia, Antioquia
`survey_id`	survey_id	string	0%	7	CO2005DHS, CO2010DHS, CO2015DHS, CO2005DHS, CO2010DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

COL Glottolog Language Catalog COL-GLOTTOLOG Language

136 rows · 1 table(s) · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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)

COL Glottolog - Languages — 136 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	acha1250, anda1286, ando1254, ando1256, ango1257
`name`	Name	string	CCL	0%	100	Achagua, Andaqui, Andoquero, Andoque, Angosturas Tunebo
`iso639_3`	Iso639 3	string	CCL	20%	80	aca, ana, ano, tnd, ans
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	5%	20	araw1281, huit1251, chib1249, choc1280, chib1249
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	5%	60	piap1247, unun9983, tune1260, unun9901, unun9943
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	11	['CO'], ['CO'], ['CO'], ['CO'], ['CO']
`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%	6	0, 0, 0, 2, 0

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	7%	91	4.38649, 2.74999, -0.666992, -0.53751, 6.54198
`longitude`	longitude	float	7%	90	-72.2005, -76.0, -72.310867, -72.0869, -71.9212
`classification`	classification	string	0%	1	[], [], [], [], []

COL World Bank Open Data COL-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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)

COL 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	CO, CO, CO, CO, CO
`population_count`	Population count	float	SEL	2%	65	15606209.0, 16095203.0, 16599029.0, 17113823.0, 17637411.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	56.609, 57.203, 57.737, 58.296, 58.77
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	258.304433616071, 282.099440509948, 298.544207818945,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	68%	21	91.0599975585938, 91.2099990844727, 92.8000030517578,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	134.3, 129.9, 125.8, 121.9, 118.2
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	80%	12	41.0, 38.7, 37.0, 36.8, 36.8

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	Colombia, Colombia, Colombia, Colombia, Colombia
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

COL World Bank - Health Indicators — 66 rows, 14 columns

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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	CO, CO, CO, CO, CO
`life_expectancy`	Life expectancy	float	SEL	3%	64	56.609, 57.203, 57.737, 58.296, 58.77
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	64	39.2, 38.2, 37.2, 36.2, 35.2
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	134.3, 129.9, 125.8, 121.9, 118.2
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	36	143.0, 123.0, 120.0, 113.0, 106.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.735, 6.712, 6.663, 6.584, 6.475
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	45.881, 45.457, 44.919, 44.237, 43.407
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	11.964, 11.557, 11.183, 10.793, 10.441
`physicians_per_1000`	Physicians per 1000	float	SEL	44%	37	0.354, 0.377, 0.42, 0.478, 0.807
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	73%	18	2.57554721832275, 2.09730005264282, 1.56410002708435,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	23	16.0, 20.0, 26.0, 42.0, 61.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	62%	25	5.63529348, 5.94238281, 5.73296595, 5.77505445, 5.79892111

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	Colombia, Colombia, Colombia, Colombia, Colombia
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

COL LandScan Global (ORNL) COL-LANDSCAN Modeled Population

117 rows · 3 table(s) · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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)

COL 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	COL
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Colombia
`admin_code`	Admin code	string	SEL	0%	1	68469763B31724326448438
`area_sqkm`	Area sqkm	float	SEL	0%	1	1139349.7689
`pop_2024`	Population count	integer	SEL	0%	1	48311484
`pop_density_2024`	Population density	float	SEL	0%	1	42.4

1 Admin 1 — 1 table(s)

COL LandScan - Population Admin1 (admin_1) — 33 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	COL, COL, COL, COL, COL
`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%	33	Bogota Capital District, Valle del Cauca, Antioquia,...
`admin_code`	Admin code	string	SEL	0%	33	13589884B40908771570386, 13589884B83777567082486,...
`area_sqkm`	Area sqkm	float	SEL	0%	33	1612.4431, 20569.6637, 63151.3151, 22376.5957, 3349.6723
`pop_2024`	Population count	integer	SEL	0%	33	8827561, 5968665, 5958059, 3015270, 2759353
`pop_density_2024`	Population density	float	SEL	0%	33	5474.65, 290.17, 94.35, 134.75, 823.77

Locality Locality — 1 table(s)

COL LandScan - Cities (locality) — 83 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	COL, COL, COL, COL, COL
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	83	Bogota, Cali, Medellín, Barranquilla, Cartagena
`admin_code`	Admin code	integer	SEL	0%	83	3881, 1158, 2676, 3968, 3275
`area_sqkm`	Area sqkm	float	SEL	0%	81	530.4691, 184.7607, 231.4765, 156.0241, 113.2863
`pop_2024`	Population count	integer	SEL	0%	83	9482137, 3234964, 3151594, 2126941, 903693
`pop_density_2024`	Population density	float	SEL	0%	83	17875.0, 17508.94, 13615.18, 13632.13, 7977.07

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%	83	10419361, 2691616, 3215457, 2166638, 925945
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	80	0.91, 1.202, 0.98, 0.982, 0.976

COL UNHCR Refugee Data Finder COL-UNHCR Migration

97 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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)

COL UNHCR - Hosted Populations — 54 rows, 24 columns

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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%	-	-

COL UNHCR - Origin Populations — 43 rows, 24 columns

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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%	-	-

COL GHS Urban Centre Database (EU JRC) COL-GHSL_UCDB Modeled Population

83 rows · 1 table(s) · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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)

COL GHS-UCDB - Cities (locality) — 83 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%	83	Bogota, Medellín, Cali, Barranquilla, Cartagena
`country_code`	Country code	string	SEL	0%	1	COL, COL, COL, COL, COL
`population`	Population count	integer	SEL	0%	83	10419361, 3215457, 2691616, 2166638, 925945

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	83	3881, 2676, 1158, 3968, 3275
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Colombia, Colombia, Colombia, Colombia, Colombia
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

COL Google Community Mobility (2020-2022) COL-GOOGLE-MOBILITY Mobility

31 rows · 1 table(s) · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

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1 Admin 1 — 1 table(s)

COL Mobility by Region — 31 rows, 11 columns

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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	CO, CO, CO, CO, CO
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	COL, COL, COL, COL, COL

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	31	-0.55, -1.36, 4.63, -6.27, -22.51
`grocery`	grocery	float	0%	31	-0.61, 2.53, 12.63, 3.62, 7.19
`parks`	parks	float	0%	31	-32.09, -7.36, -4.95, -7.66, -15.42
`transit`	transit	float	0%	28	0.0, 0.77, -0.74, -3.89, -1.22
`workplaces`	workplaces	float	0%	31	5.89, 2.12, 15.34, 7.95, -12.45
`residential`	residential	float	0%	29	0.0, 2.29, 2.31, 4.5, 12.57
`region`	region	string	0%	31	Amazonas, Antioquia, Arauca, Atlantico, Bogota
`observation_count`	observation_count	integer	0%	31	1898, 52204, 4541, 9587, 974

COL OpenFactBook COL-OPENFACTBOOK Country Profile

17 rows · 17 table(s) · 2024 OpenFactBook 0 1 2 3 102 SEL 2 CCL 650 ext ▶

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0 Admin 0 — 17 table(s)

COL 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	12.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	174.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.co
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	77.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	17.0
`country_code`	Country code	string	SEL	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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	6.32 million (2024 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	6.32
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	12 (2024 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	92.1 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	92.1
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	174 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	combination of state-owned and privately owned broadcast...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	500.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	77% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	8.91 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	8.91
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	17 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL OpenFactBook - Economy — 1 rows, 153 columns

Loading data…

Field details — 159 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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	18500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	418.542
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	33.0
`country_code`	Country code	string	SEL	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (153) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	prior to COVID-19, one of the most consistent growth...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$978.592 billion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	978.592
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$961.82 billion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	961.82
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$955.016 billion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	955.016
`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	1.7% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	1.7
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	0.7% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	0.7
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	7.3% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	7.3
`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	$18,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$18,400 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	18400.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$18,500 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	18500.0
`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	$418.542 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	6.6% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	6.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	11.7% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	11.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	10.2% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	10.2
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+123 more extension fields — download the CSV/Parquet to see them all.

COL OpenFactBook - Energy — 1 rows, 53 columns

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Field details — 53 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	100.0
`country_code`	Country code	string	SEL	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (49) — 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	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	21.053 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	21.053
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	82.309 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	82.309
`electricity_exports_text`	electricity_exports_text	string	0%	1	1.293 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	1.293
`electricity_imports_text`	electricity_imports_text	string	0%	1	407.788 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	407.788
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	7.232 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	7.232
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	34% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	34.0
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	1.3% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	1.3
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	0.1% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	0.1
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	62.1% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	62.1
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	2.5% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	2.5
`coal_production_text`	coal_production_text	string	0%	1	52.376 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	52.376
`coal_consumption_text`	coal_consumption_text	string	0%	1	9.72 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	9.72
`coal_exports_text`	coal_exports_text	string	0%	1	46.425 million metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	46.425
`coal_imports_text`	coal_imports_text	string	0%	1	1,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	1000.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	4.554 billion metric tons (2023 est.)
+19 more extension fields — download the CSV/Parquet to see them all.

COL OpenFactBook - Environment — 1 rows, 51 columns

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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	36.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	53.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	82.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.01
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	12.15
`country_code`	Country code	string	SEL	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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 from timber exploitation in the Amazon and...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Environmental Protection, Antarctic Treaty,...
`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	Law of the Sea
`climate_text`	climate_text	string	0%	1	tropical along coast and eastern plains; cooler in highlands
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	36.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 2.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	2.3
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.2
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 32% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	32.0
`land_use_forest_text`	land_use_forest_text	string	0%	1	53.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	9.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	9.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	82.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.01% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	85.878 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	85.878
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	15.463 million 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	15.463
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	49.727 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	49.727
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	20.688 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	20.688
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	13.1 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	13.1
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	814.5 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	814.5
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	1,791.5 kt (2019-2021 est.)
+18 more extension fields — download the CSV/Parquet to see them all.

COL OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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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	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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	Colombian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Colombian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Mestizo and White 87.6%, Afro-Colombian (includes...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	87.6
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL OpenFactBook - Geography — 1 rows, 55 columns

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Field details — 62 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	1138910.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1038700.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	100210.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	6672.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	3208.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	5730.0
`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	36.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	53.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	6506.0
`country_code`	Country code	string	SEL	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (49) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Northern South America, bordering the Caribbean Sea,...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	4 00 N, 72 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	4.0
`map_references_text`	map_references_text	string	0%	1	South America
`area_total_text`	area_total_text	string	0%	1	1,138,910 sq km
`area_land_text`	area_land_text	string	0%	1	1,038,700 sq km
`area_water_text`	area_water_text	string	0%	1	100,210 sq km
`area_note`	area_note	string	0%	1	note: includes Isla de Malpelo, Roncador Cay, and Serrana Bank
`area_comparative_text`	area_comparative_text	string	0%	1	slightly less than twice the size of Texas
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	6,672 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Brazil 1,790 km; Ecuador 708 km; Panama 339 km; Peru...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1790.0
`coastline_text`	coastline_text	string	0%	1	3,208 km (Caribbean Sea 1,760 km, North Pacific Ocean 1,448 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_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-m depth or to the depth of exploitation
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical along coast and eastern plains; cooler in highlands
`terrain_text`	terrain_text	string	0%	1	flat coastal lowlands, central highlands, high Andes...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Pico Cristobal Colon 5,730 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Pacific Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	593 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	593.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, natural gas, coal, iron ore, nickel, gold,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	36.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 2.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	2.3
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.2% (2023 est.)
+19 more extension fields — download the CSV/Parquet to see them all.

COL OpenFactBook - Government — 1 rows, 91 columns

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Field details — 121 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	COL
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (119) — 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 Colombia
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Colombia
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República de Colombia
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Colombia
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named after explorer Christopher COLUMBUS
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Bogotá
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	4 36 N, 74 05 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	4.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-5 (same time as Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-5.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	originally named Santa Fe de Bacatá in 1538, after the...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1538.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	32 departments (departamentos, singular - departamento)...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	32.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system influenced by the Spanish and French civil codes
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest promulgated 4 July 1991
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	4.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the government, by Congress, by a...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`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	least one parent must be a citizen or permanent resident...
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`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 Gustavo Francisco PETRO Urrego (since 7 August 2022)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	7.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	President Gustavo Francisco PETRO Urrego (since 7 August 2022)
+89 more extension fields — download the CSV/Parquet to see them all.

COL OpenFactBook - Introduction — 1 rows, 6 columns

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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	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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	Colombia was one of three countries that emerged after...
`background_numeric`	background_numeric	float	0%	1	1830.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL OpenFactBook - Languages — 1 rows, 7 columns

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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	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Spanish (official) 98.9%, indigenous 1%, Portuguese...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	98.9
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL OpenFactBook - Migration — 1 rows, 11 columns

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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	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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	30,611 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	30611.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	7,264,767 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	7264767.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	5 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	5.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL OpenFactBook - Military And Security — 1 rows, 22 columns

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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	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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	Military Forces of Colombia (Fuerzas Militares de...
`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	3.4% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	3.4
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	3% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	3.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	3% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	3.0
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	3.2% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	3.2
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	3.4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	3.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 260,000 active Military Forces;...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	260000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory includes a mix of domestically...
`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	18-24 years of age for compulsory (men) and voluntary...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_deployments_text`	military_deployments_text	string	0%	1	275 Egypt (MFO) (2025)
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	275.0
`military_note_text`	military_note_text	string	0%	1	the Colombian military is responsible for defending and...
`military_note_numeric`	military_note_numeric	float	0%	1	2022.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL OpenFactBook - People And Society — 1 rows, 137 columns

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Field details — 151 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	49842298.0
`population_male_numeric`	Population male	float	SEL	0%	1	24320959.0
`population_female_numeric`	Population female	float	SEL	0%	1	25521339.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	22.3
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	66.5
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	11.2
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	50.7
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	33.2
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	17.5
`median_age_total_numeric`	Median age	float	SEL	0%	1	33.1
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.54
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	14.73
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.96
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-2.38
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	82.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.01
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.95
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	59.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	11.6
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	74.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.94
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.94
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	2.54
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.7
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	95.3
`country_code`	Country code	string	SEL	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (122) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	49,842,298 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	24,320,959
`population_female_text`	population_female_text	string	0%	1	25,521,339
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	22.3% (male 5,643,995/female 5,394,147)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	66.5% (male 16,127,377/female 16,859,161)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	11.2% (2024 est.) (male 2,434,999/female 3,128,678)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	50.7 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	33.2 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	17.5 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	5.7 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	5.7
`median_age_total_text`	median_age_total_text	string	0%	1	33.1 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	31.5 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	31.5
`median_age_female_text`	median_age_female_text	string	0%	1	34 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	34.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.54% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	14.73 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.96 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-2.38 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the majority of people live in the north and west, where...
`population_distribution_numeric`	population_distribution_numeric	float	0%	1	60.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	82.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.01% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	11.508 million BOGOTA (capital), 4.102 million Medellin,...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	11.508
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.96 male(s)/female
+92 more extension fields — download the CSV/Parquet to see them all.

COL OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.3
`composition_ethnicity_primary_label_synth`	Mestizo and White	string	CCL	0%	-	Mestizo and White

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	Roman Catholic 63.6%, Protestant 17.2% (Evangelical...
`religions_numeric`	religions_numeric	float	0%	1	63.6
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

Pending (17) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	63.6
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	17.2
`composition_religion_protestant__evangelical_pct_synth`	Evangelical	numeric	0%	-	16.7
`composition_religion_protestant__adventist_pct_synth`	Adventist	numeric	0%	-	0.3
`composition_religion_protestant__other_protestant_pct_synth`	other Protestant	numeric	0%	-	0.2
`composition_religion_jehovah_s_witness_pct_synth`	Jehovah's Witness	numeric	0%	-	0.6
`composition_religion_church_of_jesus_christ_pct_synth`	Church of Jesus Christ	numeric	0%	-	0.1
`composition_religion_believer_pct_synth`	believer	numeric	0%	-	-
`composition_religion_agnostic_1_pct_synth`	agnostic 1%	numeric	0%	-	0.2
`composition_religion_atheist_pct_synth`	atheist	numeric	0%	-	1.0
`composition_religion_none_pct_synth`	none	numeric	0%	-	14.2
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	1.8
`composition_ethnicity_mestizo_and_white_pct_synth`	Mestizo and White	numeric	0%	-	87.6
`composition_ethnicity_afro_colombian_includes_mulatto_raizal_and_palenquero_pct_synth`	Afro-Colombian (includes Mulatto, Raizal, and Palenquero)	numeric	0%	-	6.8
`composition_ethnicity_indigenous_pct_synth`	Indigenous	numeric	0%	-	4.3
`composition_ethnicity_unspecified_pct_synth`	unspecified	numeric	0%	-	1.4
`composition_ethnicity_primary_share_pct_synth`	Mestizo and White	numeric	0%	-	87.6

COL OpenFactBook - Space — 1 rows, 8 columns

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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	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	Colombian Space Commission (Comision Colombiana Del...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2006.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a small program focused on acquiring satellites,...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	2007 - first domestically produced...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	2007.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL OpenFactBook - Terrorism — 1 rows, 6 columns

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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	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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	National Liberation Army (ELN); Revolutionary Armed...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL OpenFactBook - Transnational Issues — 1 rows, 6 columns

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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	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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-america/co.json

COL OpenFactBook - Transportation — 1 rows, 32 columns

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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	HJ, HK
`airports_numeric`	Airports count	float	SEL	0%	1	661.0
`country_code`	Country code	string	SEL	0%	1	COL
`country_name`	Country name	string	SEL	0%	1	Colombia
`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	661 (2025)
`heliports_text`	heliports_text	string	0%	1	57 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	57.0
`railways_total_text`	railways_total_text	string	0%	1	2,141 km (2019)
`railways_total_numeric`	railways_total_numeric	float	0%	1	2141.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	150 km (2019) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	150.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	1,991 km (2019) 0.914-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	1991.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	153 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	153.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 28, oil tanker 13, other 112
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	28.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	14 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	14.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	2
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	2.0
`ports_small_text`	ports_small_text	float	0%	1	8
`ports_small_numeric`	ports_small_numeric	float	0%	1	8.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	3
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	3.0
`ports_size_unknown_text`	ports_size_unknown_text	float	0%	1	1
`ports_size_unknown_numeric`	ports_size_unknown_numeric	float	0%	1	1.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	10
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	10.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Barranquilla, Buenaventura, Cartagena, Covenas, El...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-america/co.json

COL D-PLACE COL-DPLACE Ethnographic Societies

10 rows · 1 table(s) · 2024 D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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)

COL D-PLACE - Dplace Ea Societies — 10 rows, 18 columns

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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	COL, COL, COL, COL, COL
`society_id`	Society id	string	CCL	0%	10	Sb2, Sb6, Sc17, Sc4, Se2
`society_name`	Society name	string	CCL	0%	10	Cágaba, Wayuu, Piapoco, Guahibo, Ticuna
`language_glottocode`	Language glottocode	string	CCL	0%	10	cogu1240, wayu1243, piap1246, guah1255, ticu1245
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	10	EA001:0; EA002:0; EA003:0; EA004:2; EA005:8, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	10	EA006:2; EA007:8; EA008:2; EA009:2; EA010:9, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	10	EA028:3; EA029:5; EA030:3; EA031:NA; EA032:3, EA028:2;...
`political_complexity`	Political complexity	string	CCL	0%	9	EA033:1; EA034:2; EA035:1, EA033:1; EA034:3; EA035:2,...
`religion_importance`	Religion importance	string	CCL	0%	9	EA034:2; EA112:8, EA034:3; EA112:3, EA034:NA; EA112:NA,...
`residence_pattern`	Residence pattern	string	CCL	0%	7	EA011:3; EA012:9; EA013:9, EA011:1; EA012:1; 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	Colombia, Colombia, Colombia, Colombia, Colombia
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	9	11.0, 12.0, 6.0, 5.0, -3.0
`longitude`	longitude	float	0%	7	-74.0, -72.0, -68.0, -69.0, -70.0
`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

COL NGA GEOnet Names Server (GNS) COL-NGA_GNS Language

4 rows · 2 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 ext ▶

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0 Admin 0 — 2 table(s)

COL Nga Gns - Language — 3 rows, 9 columns

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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	COL, COL, COL
`gns_language_code`	gns_language_code	string	CCL	0%	3	spa, por, eng
`gns_language_name`	gns_language_name	string	CCL	0%	3	Spanish, Portuguese, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	25751, 33, 17
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	99.8062, 0.1279, 0.0659
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0

COL Nga Gns - Summary — 1 rows, 31 columns

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Field details — 31 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	COL
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Colombia
`gns_language_count`	gns_language_count	integer	CCL	0%	1	3
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9958
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	95069
`gns_feature_count`	gns_feature_count	integer	0%	1	79357
`gns_endonym_count`	gns_endonym_count	integer	0%	1	95065
`gns_exonym_count`	gns_exonym_count	integer	0%	1	4
`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	42350
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	35546
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	28240
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	22822
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	8446
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	7056
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	2518
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	1160
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	9774
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	9176
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	178
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	163
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	3544
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	3416
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	18
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	17
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	1
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	1

COL Ethnic Power Relations Dataset COL-EPR Political Ethnicity

3 rows · 1 table(s) · 2021 Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

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0 Admin 0 — 1 table(s)

COL EPR - Groups — 3 rows, 8 columns

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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	COL, COL, COL
`ethnic_group_name`	Ethnic group name	string	CCL	0%	3	Whites/mestizos, Afro-Colombian, Indigenous peoples
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	3	0.71, 0.25, 0.04
`ethnic_group_id`	Ethnic group id	float	CCL	0%	3	10001000, 10003000, 10002000
`regional_autonomy`	Regional autonomy	string	CCL	0%	3	, 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
`group_relevance`	group_relevance	string	0%	1	, ,

COL Global Organized Crime Index COL-OCINDEX Crime Index

1 rows · 1 table(s) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 ext ▶

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0 Admin 0 — 1 table(s)

COL Organized Crime Scores 2025 — 1 rows, 35 columns

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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	COL
`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	31
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	integer	0%	1	6
`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	26
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	integer	0%	1	8
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	integer	0%	1	8
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	13
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	integer	0%	1	7
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	integer	0%	1	8
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	1
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	float	0%	1	9.5
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	float	0%	1	9.5
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	4
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	8.2
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	8.13
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	3
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	7.3
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	7.2
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	1
`oc_criminal_networks_2023`	oc_criminal_networks_2023	float	0%	1	9.5
`oc_criminal_networks_2021`	oc_criminal_networks_2021	integer	0%	1	9
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	2
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	7.75
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	7.66
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	23
+74 more pending fields — download the CSV/Parquet to see them all.

COL World Values Survey COL-WVS Attitudes Values

1 rows · 1 table(s) · 2022 World Values Survey 0 1 2 3 1 SEL 25 ext ▶

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0 Admin 0 — 1 table(s)

COL WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	COL

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Spanish (spa)	25,751	99.8%	—
Portuguese (por)	33	0.1%	—
English (eng)	17	0.1%	—

Source	Type	Access
Unidad Administrativa Especial Migracion Colombia	official_government	api
Unidad para la Atencion y Reparacion Integral a las Victimas (UARIV)	official_government	api
Departamento Administrativo Nacional de Estadistica (DANE)	official_api	api
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Organisation for Economic Co-operation and Development (OECD)	international_organization	api
World Bank Open Data	international_organization	api
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Glottolog Language Catalog	academic	bulk_download
Google	commercial	bulk_download
Global Data Lab	academic	api
World Values Survey	academic	metadata_catalog
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download