Zimbabwe

ZWE World Bank Open Data ZWE-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 3 table(s)

ZWE 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	ZW, ZW, ZW, ZW, ZW
`population_count`	Population count	float	SEL	2%	65	3809389.0, 3930401.0, 4055959.0, 4185877.0, 4320006.0
`life_expectancy`	Life expectancy	float	SEL	3%	63	53.492, 53.966, 54.453, 54.942, 55.431
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	276.560896360952, 279.158927151344, 275.686274355878,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	96%	3	77.7900009155273, 83.5100021362305, 93.2300033569336
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	62	151.8, 147.7, 143.7, 139.5, 135.2
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	92%	5	75.6, 32.2, 22.5, 30.4, 38.3

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

ZWE 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	ZW, ZW, ZW, ZW, ZW
`life_expectancy`	Life expectancy	float	SEL	3%	63	53.492, 53.966, 54.453, 54.942, 55.431
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	11%	50	32.5, 32.3, 32.2, 32.1, 32.1
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	62	151.8, 147.7, 143.7, 139.5, 135.2
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	34	573.0, 525.0, 480.0, 431.0, 382.0
`fertility_rate`	Fertility rate	float	SEL	3%	61	7.195, 7.212, 7.231, 7.23, 7.23
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	47.492, 47.292, 47.093, 46.821, 46.557
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	63	14.164, 13.827, 13.484, 13.14, 12.796
`physicians_per_1000`	Physicians per 1000	float	SEL	56%	27	0.202, 0.125, 0.162, 0.158, 0.161
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	82%	12	3.87664604187012, 3.49539995193481, 3.31369996070862,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	33%	23	39.0, 46.0, 53.0, 60.0, 63.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	79%	14	10.47575283, 8.081707, 6.91838741, 7.11022186, 8.1335125

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

ZWE World Bank - Migration Indicators — 66 rows, 9 columns

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	ZWE, ZWE, ZWE, ZWE, ZWE
`country_name`	country_name	string	0%	1	Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	634621.0, 431226.0, 410109.0, 402226.0, 398307.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	8	6.3, 3.9, 3.4, 3.2, 3.0
`net_migration`	net_migration	float	0%	66	-8260.0, -8204.0, -8529.0, -8936.0, -9631.0
`remittances_received_usd`	remittances_received_usd	float	49%	34	17645269.39, 12892250.06, 19397583.01, 16891616.82, 28294628.14
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	49%	34	0.404095339317904, 0.29611336994169, 0.374463275085041,...
`remittances_paid_usd`	remittances_paid_usd	float	49%	34	40218498.23, 42233234.41, 94783645.63, 134977966.3, 122062927.2

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

102 rows · 3 tables · 2023 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

ZWE COD PS - ZWE Codps (admin_0) — 1 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	ZW
`region_name`	Region name	string	SEL	0%	1	Zimbabwe
`F_TL`	Female population	integer	SEL	0%	1	1110922
`M_TL`	Male population	integer	SEL	0%	1	1030556
`T_TL`	Total population	integer	SEL	0%	1	2141478

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2023
`year`	year	integer	0%	1	2023
`F_00_04`	Female population age 0-4	integer	0%	1	165149
`F_05_09`	Female population age 5-9	integer	0%	1	151922
`F_10_14`	Female population age 10-14	integer	0%	1	137349
`F_15_19`	Female population age 15-19	integer	0%	1	116236
`F_20_24`	Female population age 20-24	integer	0%	1	96431
`F_25_29`	Female population age 25-29	integer	0%	1	80112
`F_30_34`	Female population age 30-34	integer	0%	1	72844
`F_35_39`	Female population age 35-39	integer	0%	1	63592
`F_40_44`	Female population age 40-44	integer	0%	1	53527
`F_45_49`	Female population age 45-49	integer	0%	1	42132
`F_50_54`	Female population age 50-54	integer	0%	1	28746
`F_55_59`	Female population age 55-59	integer	0%	1	22474
`F_60_64`	Female population age 60-64	integer	0%	1	22032
`F_65_69`	Female population age 65-69	integer	0%	1	20326
`F_70_74`	Female population age 70-74	integer	0%	1	13546
`F_75_79`	Female population age 75-79	integer	0%	1	9866
`F_80Plus`	F_80Plus	integer	0%	1	14638
`M_00_04`	Male population age 0-4	integer	0%	1	163455
`M_05_09`	Male population age 5-9	integer	0%	1	149613
`M_10_14`	Male population age 10-14	integer	0%	1	137007
`M_15_19`	Male population age 15-19	integer	0%	1	120545
`M_20_24`	Male population age 20-24	integer	0%	1	97687
`M_25_29`	Male population age 25-29	integer	0%	1	76029
`M_30_34`	Male population age 30-34	integer	0%	1	59282
`M_35_39`	Male population age 35-39	integer	0%	1	49204
`M_40_44`	Male population age 40-44	integer	0%	1	45146
`M_45_49`	Male population age 45-49	integer	0%	1	37089
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

ZWE COD PS - ZWE Codps (admin_1) — 10 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	10	ZW10, ZW19, ZW11, ZW12, ZW13
`region_name`	Region name	string	SEL	0%	10	Bulawayo, Harare, Manicaland, Mashonaland Central,...
`F_TL`	Female population	integer	SEL	0%	10	443318, 1628166, 1126377, 799804, 917659
`M_TL`	Male population	integer	SEL	0%	10	354293, 1450004, 1045825, 795652, 885497
`T_TL`	Total population	integer	SEL	0%	10	797611, 3078170, 2172202, 1595456, 1803156

Pending (54) — 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	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	10	54370, 226853, 173622, 125782, 137063
`F_05_09`	Female population age 5-9	integer	0%	10	45747, 173609, 156201, 111261, 121268
`F_10_14`	Female population age 10-14	integer	0%	10	43407, 153987, 139076, 97304, 109191
`F_15_19`	Female population age 15-19	integer	0%	10	55233, 186426, 110715, 76646, 88136
`F_20_24`	Female population age 20-24	integer	0%	10	48262, 190176, 88004, 66849, 72980
`F_25_29`	Female population age 25-29	integer	0%	10	37627, 169278, 76442, 59156, 65083
`F_30_34`	Female population age 30-34	integer	0%	10	33210, 145245, 72256, 52844, 60296
`F_35_39`	Female population age 35-39	integer	0%	10	28088, 115430, 64589, 49696, 55729
`F_40_44`	Female population age 40-44	integer	0%	10	26155, 89469, 54341, 38173, 46701
`F_45_49`	Female population age 45-49	integer	0%	10	23157, 63288, 43615, 28969, 37813
`F_50_54`	Female population age 50-54	integer	0%	10	13012, 32722, 32095, 21204, 25804
`F_55_59`	Female population age 55-59	integer	0%	10	9207, 24214, 23881, 15555, 20392
`F_60_64`	Female population age 60-64	integer	0%	10	7627, 20300, 26299, 17286, 21529
`F_65_69`	Female population age 65-69	integer	0%	10	6666, 16040, 22422, 13022, 18029
`F_70_74`	Female population age 70-74	integer	0%	10	4448, 10316, 16099, 9876, 13645
`F_75_79`	Female population age 75-79	integer	0%	10	3272, 2335, 11167, 6536, 9484
`F_80Plus`	F_80Plus	integer	0%	10	3830, 8478, 15553, 9645, 14516
`M_00_04`	Male population age 0-4	integer	0%	10	48564, 210182, 175864, 128083, 139251
`M_05_09`	Male population age 5-9	integer	0%	10	39435, 155319, 159124, 114054, 124094
`M_10_14`	Male population age 10-14	integer	0%	10	34948, 129335, 142765, 100676, 114146
`M_15_19`	Male population age 15-19	integer	0%	10	39341, 132831, 123177, 88153, 102040
`M_20_24`	Male population age 20-24	integer	0%	10	40878, 169059, 90018, 76466, 81505
`M_25_29`	Male population age 25-29	integer	0%	10	31988, 161289, 71777, 63842, 66907
`M_30_34`	Male population age 30-34	integer	0%	10	24022, 124830, 55803, 47934, 51022
`M_35_39`	Male population age 35-39	integer	0%	10	19243, 101266, 47628, 41088, 42636
`M_40_44`	Male population age 40-44	integer	0%	10	19265, 91780, 43470, 35858, 40564
`M_45_49`	Male population age 45-49	integer	0%	10	18408, 67859, 38078, 28214, 34990
+24 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

ZWE COD PS - ZWE Codps (admin_2) — 91 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	91	ZW1021, ZW1922, ZW1923, ZW1921, ZW1924
`region_name`	Region name	string	SEL	0%	91	Bulawayo, Chitungwiza, Epworth, Harare, Harare Rural
`F_TL`	Female population	integer	SEL	0%	91	443318, 272230, 156534, 1041744, 157658
`M_TL`	Male population	integer	SEL	0%	91	354293, 237221, 150021, 915364, 147398
`T_TL`	Total population	integer	SEL	0%	91	797611, 509451, 306555, 1957108, 305056

Pending (54) — 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	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	91	54370, 38325, 27726, 134675, 26127
`F_05_09`	Female population age 5-9	integer	0%	91	45747, 29704, 19042, 105023, 19840
`F_10_14`	Female population age 10-14	integer	0%	91	43407, 26992, 15383, 95728, 15884
`F_15_19`	Female population age 15-19	integer	0%	90	55233, 33321, 15901, 120226, 16978
`F_20_24`	Female population age 20-24	integer	0%	91	48262, 31822, 18526, 122550, 17278
`F_25_29`	Female population age 25-29	integer	0%	91	37627, 27794, 16883, 109442, 15159
`F_30_34`	Female population age 30-34	integer	0%	90	33210, 23824, 13525, 94000, 13896
`F_35_39`	Female population age 35-39	integer	0%	90	28088, 18331, 10358, 75125, 11616
`F_40_44`	Female population age 40-44	integer	0%	91	26155, 13570, 7188, 60126, 8585
`F_45_49`	Female population age 45-49	integer	0%	90	23157, 9209, 4407, 44479, 5193
`F_50_54`	Female population age 50-54	integer	0%	90	13012, 5119, 2188, 23168, 2247
`F_55_59`	Female population age 55-59	integer	0%	91	9207, 4311, 1547, 16919, 1437
`F_60_64`	Female population age 60-64	integer	0%	88	7627, 3497, 1410, 14137, 1256
`F_65_69`	Female population age 65-69	integer	0%	90	6666, 2611, 947, 11692, 790
`F_70_74`	Female population age 70-74	integer	0%	86	4448, 1613, 642, 7561, 500
`F_75_79`	Female population age 75-79	integer	0%	86	3272, 981, 415, 576, 363
`F_80Plus`	F_80Plus	integer	0%	87	3830, 1206, 446, 6317, 509
`M_00_04`	Male population age 0-4	integer	0%	91	48564, 36742, 25746, 123881, 23813
`M_05_09`	Male population age 5-9	integer	0%	90	39435, 27235, 17522, 93300, 17262
`M_10_14`	Male population age 10-14	integer	0%	91	34948, 23197, 12727, 79760, 13651
`M_15_19`	Male population age 15-19	integer	0%	91	39341, 23851, 12441, 83952, 12587
`M_20_24`	Male population age 20-24	integer	0%	91	40878, 27085, 16762, 109029, 16183
`M_25_29`	Male population age 25-29	integer	0%	89	31988, 25647, 17166, 103327, 15149
`M_30_34`	Male population age 30-34	integer	0%	91	24022, 20059, 13509, 78962, 12300
`M_35_39`	Male population age 35-39	integer	0%	91	19243, 15945, 10701, 64043, 10577
`M_40_44`	Male population age 40-44	integer	0%	90	19265, 13506, 9221, 58837, 10216
`M_45_49`	Male population age 45-49	integer	0%	91	18408, 8901, 6346, 45289, 7323
+24 more pending fields — download the CSV/Parquet to see them all.

ZWE UNHCR Refugee Data Finder ZWE-UNHCR Migration

96 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

ZWE UNHCR - Hosted Populations — 46 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%	-	-

ZWE UNHCR - Origin Populations — 50 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%	-	-

ZWE Glottolog Language Catalog ZWE-GLOTTOLOG Language

27 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

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0 Admin 0 — 1 table(s)

ZWE Glottolog - Languages — 27 rows, 16 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	27	afri1274, amer1248, birw1238, domb1246, fana1235
`name`	Name	string	CCL	0%	27	Afrikaans, American Sign Language, Birwa,...
`iso639_3`	Iso639 3	string	CCL	0%	27	afr, ase, brl, dov, fng
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	5	indo1319, sign1238, atla1278, atla1278, pidg1258
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	25	afri1273, amer1258, nort3233, cent2279, zulu1250
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`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%	11	3, 2, 0, 5, 2

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	27	-31.63272, 33.8117, -22.17, -18.37, -25.384842
`longitude`	longitude	float	0%	27	20.46356, -81.6121, 28.33, 26.502, 27.1400833333
`country_codes`	Country codes	string	0%	18	['BW', 'MZ', 'NA', 'ZA', 'ZM', 'ZW'], ['BB', 'BF', 'BJ',...
`classification`	classification	string	0%	1	[], [], [], [], []

ZWE LandScan Global (ORNL) ZWE-LANDSCAN Modeled Population

25 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

ZWE 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	ZWE
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Zimbabwe
`admin_code`	Admin code	string	SEL	0%	1	69731989B4459939763490
`area_sqkm`	Area sqkm	float	SEL	0%	1	390768.6251
`pop_2024`	Population count	integer	SEL	0%	1	17149114
`pop_density_2024`	Population density	float	SEL	0%	1	43.89

1 Admin 1 — 1 table(s)

ZWE LandScan - Population Admin1 (admin_1) — 10 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	ZWE, ZWE, ZWE, ZWE, ZWE
`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%	10	Harare, Manicaland, Mashonaland West, Midlands, Mashonaland East
`admin_code`	Admin code	string	SEL	0%	10	88200057B87996012089813, 88200057B32763847551562,...
`area_sqkm`	Area sqkm	float	SEL	0%	10	940.2529, 35842.8776, 57679.347, 49359.5193, 32172.0915
`pop_2024`	Population count	integer	SEL	0%	10	2759991, 2311668, 2154052, 2064106, 1969471
`pop_density_2024`	Population density	float	SEL	0%	10	2935.37, 64.49, 37.35, 41.82, 61.22

Locality Locality — 1 table(s)

ZWE LandScan - Cities (locality) — 14 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	ZWE, ZWE, ZWE, ZWE, ZWE
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	14	Harare, Bulawayo, Ruwa, Mutare, Chinhoyi
`admin_code`	Admin code	integer	SEL	0%	14	1419, 117, 1519, 1707, 1098
`area_sqkm`	Area sqkm	float	SEL	0%	14	599.7184, 172.116, 65.6405, 41.778, 23.8678
`pop_2024`	Population count	integer	SEL	0%	14	2638656, 533166, 206814, 176298, 100329
`pop_density_2024`	Population density	float	SEL	0%	14	4399.82, 3097.71, 3150.71, 4219.88, 4203.53

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%	14	2076037, 492011, 183053, 147135, 100652
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	14	1.271, 1.084, 1.13, 1.198, 0.997

ZWE OpenFactBook ZWE-OPENFACTBOOK Country Profile

15 rows · 15 tables · 2024 OpenFactBook 0 1 2 3 93 SEL 2 CCL 584 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 — 15 table(s)

ZWE OpenFactBook - Communications — 1 rows, 21 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	2.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	94.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	38.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2.0
`country_code`	Country code	string	SEL	0%	1	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (15) — 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	310,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	310000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	2 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	15.7 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	15.7
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	94 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	government owns all local radio and TV stations; foreign...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2017.0
`internet_country_code_text`	Internet country code text	string	0%	1	.zw
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	38% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	269,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	269000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	2 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

ZWE OpenFactBook - Economy — 1 rows, 148 columns

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Field details — 153 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	3500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	44.188
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	38.3
`country_code`	Country code	string	SEL	0%	1	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (147) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	low income Sub-Saharan economy; political instability...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$57.391 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	57.391
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$56.249 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	56.249
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$53.399 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	53.399
`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	2% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.0
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	5.3% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	5.3
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	6.1% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	6.1
`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	$3,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$3,400 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	3400.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$3,300 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	3300.0
`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	$44.188 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	104.7% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	104.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text`	Inflation rate consumer prices 2021 (text)	string	0%	1	98.5% (2021 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric`	Inflation rate consumer prices 2021 (numeric)	float	0%	1	98.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text`	Inflation rate consumer prices 2020 (text)	string	0%	1	557.2% (2020 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric`	Inflation rate consumer prices 2020 (numeric)	float	0%	1	557.2
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	5.4% (2024 est.)
+117 more extension fields — download the CSV/Parquet to see them all.

ZWE OpenFactBook - Energy — 1 rows, 45 columns

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Field details — 45 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	50.1
`country_code`	Country code	string	SEL	0%	1	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (41) — 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	50.1% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	89%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	89.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	33.7%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	33.7
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	2.491 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	2.491
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	8.346 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	8.346
`electricity_exports_text`	electricity_exports_text	string	0%	1	395 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	395.0
`electricity_imports_text`	electricity_imports_text	string	0%	1	2.297 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	2.297
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	1.864 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	1.864
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	32.5% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	32.5
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.4% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.4
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	65.7% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	65.7
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1.5% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.5
`coal_production_text`	coal_production_text	string	0%	1	7.968 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	7.968
`coal_consumption_text`	coal_consumption_text	string	0%	1	6.705 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	6.705
`coal_exports_text`	coal_exports_text	string	0%	1	984,000 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	984000.0
`coal_imports_text`	coal_imports_text	string	0%	1	71,000 metric tons (2023 est.)
+11 more extension fields — download the CSV/Parquet to see them all.

ZWE OpenFactBook - Environment — 1 rows, 42 columns

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Field details — 45 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	41.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	35.9
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	32.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.41
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.45
`country_code`	Country code	string	SEL	0%	1	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (37) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	deforestation; soil erosion; land degradation; air and...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	tropical; moderated by altitude; rainy season (November to March)
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	41.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 10.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	10.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 31.3% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	31.3
`land_use_forest_text`	land_use_forest_text	string	0%	1	35.9% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	22.3% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	22.3
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	32.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.41% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	12.578 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	12.578
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	7.629 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	7.629
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	4.949 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	4.949
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	14.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	14.5
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	1.45 million tons (2024 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1	21.8% (2022 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric	float	0%	1	21.8
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	547.078 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	547.078
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	81.352 million cubic meters (2022 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

ZWE 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	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`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	Zimbabwean(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Zimbabwean
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	African 99.6% (predominantly Shona; Ndebele is the...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	99.6
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

ZWE OpenFactBook - Geography — 1 rows, 53 columns

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Field details — 57 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	390757.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	386847.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	3910.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	3229.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2592.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	162.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	41.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	35.9
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	1740.0
`country_code`	Country code	string	SEL	0%	1	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Africa, between South Africa and Zambia
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	20 00 S, 30 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	20.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	390,757 sq km
`area_land_text`	area_land_text	string	0%	1	386,847 sq km
`area_water_text`	area_water_text	string	0%	1	3,910 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	about four times the size of Indiana; slightly larger...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	3,229 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Botswana 834 km; Mozambique 1,402 km; South Africa 230...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	834.0
`coastline_text`	coastline_text	string	0%	1	0 km (landlocked)
`maritime_claims_text`	maritime_claims_text	string	0%	1	none (landlocked)
`climate_text`	climate_text	string	0%	1	tropical; moderated by altitude; rainy season (November to March)
`terrain_text`	terrain_text	string	0%	1	mostly high plateau with higher central plateau (high...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Inyangani 2,592 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	junction of the Runde and Save Rivers 162 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	961 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	961.0
`natural_resources_text`	natural_resources_text	string	0%	1	coal, chromium ore, asbestos, gold, nickel, copper, iron...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	41.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 10.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	10.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 31.3% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	31.3
`land_use_forest_text`	land_use_forest_text	string	0%	1	35.9% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	22.3% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	22.3
+14 more extension fields — download the CSV/Parquet to see them all.

ZWE OpenFactBook - Government — 1 rows, 93 columns

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Field details — 120 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	ZWE
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (118) — 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 Zimbabwe
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Zimbabwe
`country_name_former_text`	country_name_former_text	string	0%	1	Southern Rhodesia, Rhodesia, Zimbabwe-Rhodesia
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	takes its name from the Kingdom of Zimbabwe (13th-15th...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	13.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Harare
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	17 49 S, 31 02 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	17.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+2 (7 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	2.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	named after a village of Harare at the site of the...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	8 provinces and 2 cities* with provincial status;...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	8.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of English common law, Roman-Dutch civil...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1965 (at Rhodesian independence), 1979...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1965.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the Senate or by the National Assembly;...
`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	the father must be a citizen of Zimbabwe; in the case of...
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	President Emmerson Dambudzo MNANGAGWA (since 4 September 2023)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	4.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Vice President Constantino CHIWENGA (since 11 September 2023)
`executive_branch_head_of_government_numeric`	executive_branch_head_of_government_numeric	float	0%	1	11.0
+88 more extension fields — download the CSV/Parquet to see them all.

ZWE 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	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	The hunter-gatherer San people first inhabited the area...
`background_numeric`	background_numeric	float	0%	1	500.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

ZWE OpenFactBook - Languages — 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	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`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
`languages_text`	languages_text	string	0%	1	Shona (official, most widely spoken) 80.9%, Ndebele...
`languages_numeric`	languages_numeric	float	0%	1	80.9
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

ZWE OpenFactBook - Migration — 1 rows, 10 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	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`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	22,432 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	22432.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	32,675 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	32675.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 2 Watch List — the government did not demonstrate...
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1	2.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

ZWE OpenFactBook - Military And Security — 1 rows, 21 columns

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Field details — 25 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	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — 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	Zimbabwe Defense Forces (ZDF): Zimbabwe National Army...
`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	0.4% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.4
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.3% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.3
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.9% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.9
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.4% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.4
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 30,000 active Zimbabwe Defense Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	30000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the ZDF inventory is comprised mostly of...
`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	18-22 years of age for voluntary military service for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the primary responsibilities of the Zimbabwe Defense...
`military_note_numeric`	military_note_numeric	float	0%	1	2017.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

ZWE OpenFactBook - People And Society — 1 rows, 133 columns

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Field details — 144 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	17472752.0
`population_male_numeric`	Population male	float	SEL	0%	1	8503108.0
`population_female_numeric`	Population female	float	SEL	0%	1	8969644.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	38.3
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	57.8
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	3.9
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	72.3
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	65.5
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	6.8
`median_age_total_numeric`	Median age	float	SEL	0%	1	21.3
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.82
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	28.18
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.4
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-3.58
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	32.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.41
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.03
`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	358.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	32.8
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	67.2
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	3.42
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.68
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.14
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	93.2
`country_code`	Country code	string	SEL	0%	1	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (116) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	17,472,752 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	8,503,108
`population_female_text`	population_female_text	string	0%	1	8,969,644
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	38.3% (male 3,315,075/female 3,254,643)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	57.8% (male 4,758,120/female 5,152,773)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	3.9% (2024 est.) (male 270,595/female 399,146)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	72.3 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	65.5 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	6.8 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	14.7 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	14.7
`median_age_total_text`	median_age_total_text	string	0%	1	21.3 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	20.3 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	20.3
`median_age_female_text`	median_age_female_text	string	0%	1	22 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	22.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.82% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	28.18 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.4 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-3.58 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	aside from major urban agglomerations in Harare and...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	32.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.41% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	1.578 million HARARE (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	1.578
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.03 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.02 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.02
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.92 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.92
+86 more extension fields — download the CSV/Parquet to see them all.

ZWE OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 19 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	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.5
`composition_ethnicity_primary_label_synth`	African	string	CCL	0%	-	African

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	Apostolic Sect 40.3%, Pentecostal 17%, Protestant 13.8%,...
`religions_numeric`	religions_numeric	float	0%	1	40.3
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

Pending (10) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_apostolic_sect_pct_synth`	Apostolic Sect	numeric	0%	-	40.3
`composition_religion_pentecostal_pct_synth`	Pentecostal	numeric	0%	-	17.0
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	13.8
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	7.8
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	6.4
`composition_religion_african_traditionalist_pct_synth`	African traditionalist	numeric	0%	-	5.0
`composition_religion_none_pct_synth`	none	numeric	0%	-	8.3
`composition_ethnicity_african_pct_synth`	African	numeric	0%	-	99.6
`composition_ethnicity_other_includes_caucasian_asiatic_mixed_race_pct_synth`	other (includes Caucasian, Asiatic, mixed race)	numeric	0%	-	0.4
`composition_ethnicity_primary_share_pct_synth`	African	numeric	0%	-	99.6

ZWE 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	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`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	Zimbabwe National Geospatial and Space Agency (ZINGSA;...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2019.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a nascent program with the goal of using space...
`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	2020 - began a program (BIRDS-5) sponsored by Japan to...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	2020.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

ZWE OpenFactBook - Transportation — 1 rows, 13 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	144.0
`country_code`	Country code	string	SEL	0%	1	ZWE
`country_name`	Country name	string	SEL	0%	1	Zimbabwe
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	Z
`airports_text`	airports_text	string	0%	1	144 (2025)
`heliports_text`	heliports_text	string	0%	1	5 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	5.0
`railways_total_text`	railways_total_text	string	0%	1	3,427 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	3427.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	3,427 km (2014) 1.067-m gauge (313 km electrified)
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	3427.0
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/zi.json

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

14 rows · 1 table · 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)

ZWE GHS-UCDB - Cities (locality) — 14 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%	14	Harare, Bulawayo, Ruwa, Mutare, Kwekwe
`country_code`	Country code	string	SEL	0%	1	ZWE, ZWE, ZWE, ZWE, ZWE
`population`	Population count	integer	SEL	0%	14	2076037, 492011, 183053, 147135, 134107

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	14	1419, 117, 1519, 1707, 594
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe, Zimbabwe
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

10 rows · 1 table · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

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1 Admin 1 — 1 table(s)

ZWE Mobility by Region — 10 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	ZW, ZW, ZW, ZW, ZW
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	ZWE, ZWE, ZWE, ZWE, ZWE

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	4	30.03, 30.66, 0.0, 0.0, 0.0
`grocery`	grocery	float	0%	3	48.44, 37.9, 0.0, 0.0, 0.0
`parks`	parks	float	0%	5	-1.06, 31.08, 0.0, 0.0, 0.0
`transit`	transit	float	0%	5	11.33, 33.96, -1.65, 0.0, 0.0
`workplaces`	workplaces	float	0%	10	15.98, 12.71, 27.1, -7.38, 40.43
`residential`	residential	float	0%	5	6.54, 9.03, 0.0, 0.0, 1.34
`region`	region	string	0%	10	Bulawayo Province, Harare Province, Manicaland Province,...
`observation_count`	observation_count	integer	0%	10	1938, 1948, 1640, 343, 2418

ZWE D-PLACE ZWE-DPLACE Ethnographic Societies

6 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 ext ▶

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0 Admin 0 — 2 table(s)

ZWE D-PLACE - Dplace Ea Societies — 3 rows, 23 columns

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Field details — 23 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	ZWE, ZWE, ZWE
`society_id`	Society id	string	CCL	0%	3	Ab18, Ab9, Ac30
`society_name`	Society name	string	CCL	0%	3	Shona, Ndebele, Plateau Tonga
`language_glottocode`	Language glottocode	string	CCL	0%	3	shon1251, nort2795, tong1318
`language_name`	Language name	string	CCL	0%	1	, ,
`kinship_system`	Kinship system	string	CCL	0%	3	EA017:4; EA018:3; EA019:1; EA020:1; EA021:2; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	3	EA006:1; EA007:8; EA008:4; EA009:4; EA023:8; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	3	EA001:1; EA002:1; EA003:1; EA004:2; EA005:5; EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	3	EA032:2; EA033:3, EA032:3; EA033:4, EA032:3; EA033:1
`religion_importance`	Religion importance	string	CCL	0%	3	EA034:4; EA112:6, EA034:2; EA112:1, EA034:3; EA112:6
`residence_pattern`	Residence pattern	string	CCL	0%	3	EA010:8; EA011:1; EA012:8; EA013:3; EA014:9, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	3	EA030:6; EA031:3, EA030:8; EA031:7, EA030:6; EA031:4

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Zimbabwe, Zimbabwe, Zimbabwe
`dataset`	dataset	string	0%	1	EA, EA, EA
`region`	region	string	0%	1	, ,
`latitude`	latitude	float	0%	3	-19.0, -20.0, -18.0
`longitude`	longitude	float	0%	2	31.0, 28.0, 28.0
`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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org, https://d-place.org
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024

ZWE D-PLACE - Dplace Ea Societies Decoded — 3 rows, 49 columns

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Field details — 49 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	ZWE, ZWE, ZWE
`society_id`	society_id	string	CCL	0%	3	Ab18, Ab9, Ac30
`society_name`	society_name	string	CCL	0%	3	Shona, Ndebele, Plateau Tonga
`language_glottocode`	language_glottocode	string	CCL	0%	3	shon1251, nort2795, tong1318
`language_name`	language_name	string	CCL	0%	1	, ,

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Zimbabwe, Zimbabwe, Zimbabwe
`dataset`	dataset	string	0%	1	EA, EA, EA
`region`	region	string	0%	1	, ,
`latitude`	latitude	float	0%	3	-19.0, -20.0, -18.0
`longitude`	longitude	float	0%	2	31.0, 28.0, 28.0
`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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org, https://d-place.org
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	0%	2	2, 3, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	0%	3	3, 4, 1
`religion_high_gods`	religion_high_gods	integer	0%	3	4, 2, 3
`trance_states`	trance_states	integer	0%	2	6, 1, 6
`settlement_patterns`	settlement_patterns	integer	0%	2	6, 8, 6
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	0%	3	3, 7, 4
`marital_residence_first_years`	marital_residence_first_years	integer	0%	2	8, 8, 9
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	1	1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	2	8, 8, 4
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	3	3, 9, 2
`marital_residence_alternate`	marital_residence_alternate	integer	0%	3	9, 11, 6
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	2	4, 4, 1
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	3	3, 4, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	2	1, 1, 4
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	2	1, 1, 4
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	2	2, 9, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	0%	2	6, 5, 5
`descent_major_type`	descent_major_type	integer	0%	3	7, 1, 3
+14 more extension fields — download the CSV/Parquet to see them all.

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

4 rows · 2 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 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)

ZWE 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	ZWE, ZWE, ZWE
`gns_language_code`	gns_language_code	string	CCL	0%	3	eng, fra, por
`gns_language_name`	gns_language_name	string	CCL	0%	3	English, French, Portuguese
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	11319, 29, 14
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	99.6215, 0.2552, 0.1232
`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

ZWE NGA GNS - Summary — 1 rows, 29 columns

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Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	ZWE
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Zimbabwe
`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	99.9906
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	32061
`gns_feature_count`	gns_feature_count	integer	0%	1	24929
`gns_endonym_count`	gns_endonym_count	integer	0%	1	32058
`gns_exonym_count`	gns_exonym_count	integer	0%	1	3
`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_spot_features`	gns_name_count_spot_features	integer	0%	1	13786
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	12010
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	7128
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	5199
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	7130
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	4654
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	2426
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	2051
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1303
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	871
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	200
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	81
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	66
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	42
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	22
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	21

ZWE INFORM Risk Index (EC-JRC) ZWE-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 293 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

ZWE Inform - Risk Index — 1 rows, 293 columns

Loading data…

Field details — 293 fields (type, nulls, unique, samples)

Pending (293) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	ZWE
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	822574.8
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.228571428571429
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	4.7341657992948
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	386850.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.375
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.49462096131005
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	7.3
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	8.45310211181641
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	5.9
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	6.1
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	6.4
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.8
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	2.1
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	1.4
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	3.6
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	1.4
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	4.0
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.7
`inform_cc_inf_com`	Communication	float	0%	1	4.3
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	5.4
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	3.8
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	2.1
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	5.8
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	7.6
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	6.6
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	8.8
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	7.3
`inform_institutional_capacity`	Institutional	float	0%	1	5.6
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	3.6
+263 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
English (eng)	11,319	99.6%	—
French (fra)	29	0.3%	—
Portuguese (por)	14	0.1%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Google	commercial	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
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