Colombia

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

1,155 rows · 2 table(s) 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 HDX COD — Population Statistics (OCHA/UNFPA) COL-COD_PS Census Derived Population

1,156 rows · 3 table(s) 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

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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

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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

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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) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

COL GDL - Subnational Indices — 1,156 rows, 11 columns

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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 USAID DHS Program COL-DHS Health Surveys

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

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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 UNHCR Refugee Data Finder COL-UNHCR Migration

150 rows · 2 table(s) 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 — 75 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 — 75 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 Glottolog Language Catalog COL-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

COL Glottolog - Languages — 136 rows, 16 columns

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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) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

COL World Bank - Development Indicators — 66 rows, 9 columns

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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) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

COL LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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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

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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

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

83 rows · 1 table(s) 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

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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) 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) 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, 22 columns

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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, 159 columns

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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, 56 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, 9 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, 62 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, 121 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, 7 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, 8 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, 27 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, 151 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, 26 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, 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
`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, 7 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, 35 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) 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) 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) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 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 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) GI-TOC / ENACT 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 Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

COL World Values Survey COL-WVS Attitudes Values

1 rows · 1 table(s) World Values Survey 0 1 2 3 1 SEL 25 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 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
Departamento Administrativo Nacional de Estadistica (DANE)	official_api	api
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	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
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
Google	commercial	bulk_download
Glottolog Language Catalog	academic	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download