Tanzania

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

4,127 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 33 ext ▶

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0 Admin 0 — 3 table(s)

TZA NGA GNS - Language — 2 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	TZA, TZA
`gns_language_code`	gns_language_code	string	CCL	0%	2	eng, swa
`gns_language_name`	gns_language_name	string	CCL	0%	2	English, Swahili (generic)
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	2	2140, 64
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	2	97.0962, 2.9038
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	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

TZA 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	TZA
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Tanzania
`gns_language_count`	gns_language_count	integer	CCL	0%	1	2
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9914
`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	23290
`gns_feature_count`	gns_feature_count	integer	0%	1	19017
`gns_endonym_count`	gns_endonym_count	integer	0%	1	23288
`gns_exonym_count`	gns_exonym_count	integer	0%	1	2
`gns_source_build_date`	gns_source_build_date	string	0%	1	Thu, 24 Sep 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-09-24
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	4019
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	3177
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	8974
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	7646
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	4007
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	2705
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	846
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	801
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	632
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	541
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	4797
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	4136
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	9
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	7
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	6
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	4

TZA NGA GNS - Admin Crosswalk — 4,124 rows, 12 columns

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Field details — 12 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	TZA, TZA, TZA, TZA, TZA

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	100	-2561036, -2562169, -2562239, 11666052, -2563392
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	96	Arusha, Dar es Salaam, Dodoma, Geita, Iringa
`gns_local_name`	gns_local_name	string	100%	-	-
`iso_3166_2`	iso_3166_2	string	0%	31	TZ-01, TZ-02, TZ-03, TZ-27, TZ-04
`parent_code`	parent_code	string	0%	25	TZA, TZA, TZA, TZA, TZA
`gns_prominence_band`	gns_prominence_band	integer	0%	3	7, 7, 7, 7, 7
`latitude`	latitude	float	0%	97	-3.0, -6.883333, -5.916667, -3.2, -7.85
`longitude`	longitude	float	0%	98	36.0, 39.25, 35.916667, 31.9, 35.55
`gns_mgrs`	gns_mgrs	string	0%	100	37MAS6647767950, 37MEN2762039141, 36MZU2297245159,...
`name_variant_count`	name_variant_count	integer	0%	7	4, 4, 4, 4, 4

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

200 rows · 2 tables · 2020 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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1 Admin 1 — 1 table(s)

TZA COD PS - TZA Codps (admin_1) — 31 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%	31	TZ02, TZ06, TZ07, TZ01, TZ25
`region_name`	Region name	string	SEL	0%	31	ARUSHA, COAST, DAR ES SALAAM, DODOMA, GEITA
`T_TL`	Total population	integer	SEL	0%	31	2190453, 1357842, 7037577, 2562332, 2228513
`M_TL`	Male population	integer	SEL	0%	31	1088337, 679059, 3546655, 1275499, 1131492
`F_TL`	Female population	integer	SEL	0%	31	1102116, 678783, 3490922, 1286833, 1097021

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	2020, 2020, 2020, 2020, 2020
`ADM0_EN`	ADM0_EN	string	0%	1	Tanzania, Tanzania, Tanzania, Tanzania, Tanzania
`T_00_04`	Total population age 0-4	integer	0%	31	319479, 187516, 822222, 401581, 424351
`T_05_09`	Total population age 5-9	integer	0%	31	300961, 178690, 678359, 401792, 359934
`T_10_14`	Total population age 10-14	integer	0%	31	278836, 165280, 649588, 341330, 312643
`T_15_19`	Total population age 15-19	integer	0%	31	261716, 139204, 847710, 265713, 255610
`T_20_24`	Total population age 20-24	integer	0%	31	212620, 119207, 909493, 211218, 196477
`T_25_29`	Total population age 25-29	integer	0%	31	178798, 103709, 792737, 173866, 149408
`T_30_34`	Total population age 30-34	integer	0%	31	152635, 94593, 659092, 156767, 121049
`T_35_39`	Total population age 35-39	integer	0%	31	126976, 80468, 510104, 131151, 106822
`T_40_44`	Total population age 40-44	integer	0%	31	102741, 69533, 389227, 121480, 87818
`T_45_49`	Total population age 45-49	integer	0%	31	75883, 51137, 267504, 87236, 67674
`T_50_54`	Total population age 50-54	integer	0%	30	53001, 40726, 169867, 72245, 46437
`T_55_59`	Total population age 55-59	integer	0%	31	40513, 31865, 130955, 53489, 30732
`T_60_64`	Total population age 60-64	integer	0%	31	29972, 29690, 85319, 43699, 24341
`T_65_69`	Total population age 65-69	integer	0%	31	21895, 23556, 56202, 37031, 18064
`T_70_74`	Total population age 70-74	integer	0%	31	15304, 19105, 33667, 28966, 13025
`T_75_79`	Total population age 75-79	integer	0%	31	9773, 11809, 20253, 18369, 7841
`T_80Plus`	T_80Plus	integer	0%	31	9350, 11754, 15278, 16399, 6287
`M_00_04`	Male population age 0-4	integer	0%	31	162712, 95498, 417429, 202884, 214635
`M_05_09`	Male population age 5-9	integer	0%	31	152837, 90947, 340037, 204475, 182452
`M_10_14`	Male population age 10-14	integer	0%	31	139894, 84642, 312333, 174199, 158497
`M_15_19`	Male population age 15-19	integer	0%	31	128557, 71551, 376811, 141052, 131616
`M_20_24`	Male population age 20-24	integer	0%	31	102590, 58416, 450752, 107304, 100027
`M_25_29`	Male population age 25-29	integer	0%	31	86123, 50388, 409395, 85479, 75446
`M_30_34`	Male population age 30-34	integer	0%	31	75072, 46819, 346268, 75702, 61679
`M_35_39`	Male population age 35-39	integer	0%	31	62559, 40712, 271536, 63224, 53507
`M_40_44`	Male population age 40-44	integer	0%	31	52273, 35816, 212926, 58197, 44914
`M_45_49`	Male population age 45-49	integer	0%	31	40647, 27789, 143447, 44492, 33615
+24 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

TZA COD PS - TZA Codps (admin_2) — 169 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%	100	TZ0101, TZ0102, TZ0103, TZ0104, TZ0105
`region_name`	Region name	string	SEL	0%	100	KONDOA, MPWAPWA, KONGWA, CHAMWINO, DODOMA MUNICIPAL
`T_TL`	Total population	integer	SEL	0%	100	311638, 368137, 386458, 420529, 505425
`M_TL`	Male population	integer	SEL	0%	100	160764, 182081, 190515, 206899, 250229
`F_TL`	Female population	integer	SEL	0%	100	150874, 186056, 195943, 213630, 255196

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	2020, 2020, 2020, 2020, 2020
`ADM0_EN`	ADM0_EN	string	0%	1	Tanzania, Tanzania, Tanzania, Tanzania, Tanzania
`T_00_04`	Total population age 0-4	integer	0%	100	47166, 58480, 64175, 70470, 64831
`T_05_09`	Total population age 5-9	integer	0%	100	50580, 60193, 63734, 69618, 63348
`T_10_14`	Total population age 10-14	integer	0%	100	46483, 51615, 52923, 55215, 59666
`T_15_19`	Total population age 15-19	integer	0%	100	31596, 37430, 40778, 39497, 62512
`T_20_24`	Total population age 20-24	integer	0%	100	22043, 29327, 31768, 31592, 54758
`T_25_29`	Total population age 25-29	integer	0%	100	18646, 23970, 25753, 26467, 41978
`T_30_34`	Total population age 30-34	integer	0%	100	16840, 23039, 23879, 25145, 34939
`T_35_39`	Total population age 35-39	integer	0%	100	15295, 18978, 19645, 20868, 28023
`T_40_44`	Total population age 40-44	integer	0%	100	14145, 17081, 17424, 21044, 25210
`T_45_49`	Total population age 45-49	integer	0%	100	11014, 12354, 11777, 14508, 18576
`T_50_54`	Total population age 50-54	integer	0%	100	9775, 9583, 9550, 11829, 14857
`T_55_59`	Total population age 55-59	integer	0%	99	7270, 7394, 7117, 8546, 10959
`T_60_64`	Total population age 60-64	integer	0%	100	6234, 5761, 5831, 7339, 8208
`T_65_69`	Total population age 65-69	integer	0%	98	5128, 4683, 4558, 6672, 6959
`T_70_74`	Total population age 70-74	integer	0%	100	4382, 3684, 3559, 5172, 4807
`T_75_79`	Total population age 75-79	integer	0%	98	2744, 2419, 2033, 3364, 3166
`T_80Plus`	T_80Plus	integer	0%	100	2297, 2146, 1954, 3183, 2628
`M_00_04`	Male population age 0-4	integer	0%	100	24121, 29232, 32259, 35451, 32854
`M_05_09`	Male population age 5-9	integer	0%	100	26210, 30347, 32170, 35486, 31989
`M_10_14`	Male population age 10-14	integer	0%	100	24447, 26256, 26599, 28351, 29451
`M_15_19`	Male population age 15-19	integer	0%	99	18924, 19680, 20936, 20925, 30826
`M_20_24`	Male population age 20-24	integer	0%	100	11912, 14790, 15719, 15746, 28093
`M_25_29`	Male population age 25-29	integer	0%	99	9198, 11770, 12547, 12852, 21227
`M_30_34`	Male population age 30-34	integer	0%	100	8238, 11012, 11616, 11950, 17156
`M_35_39`	Male population age 35-39	integer	0%	98	7470, 9204, 9426, 9749, 13700
`M_40_44`	Male population age 40-44	integer	0%	100	6951, 8186, 8271, 9791, 12169
`M_45_49`	Male population age 45-49	integer	0%	99	5930, 6217, 5974, 7173, 9546
+24 more pending fields — download the CSV/Parquet to see them all.

TZA World Bank Open Data TZA-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)

TZA 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	TZ, TZ, TZ, TZ, TZ
`population_count`	Population count	float	SEL	2%	65	9901419.0, 10187886.0, 10487756.0, 10799528.0, 11127826.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	42.596, 42.841, 43.215, 43.616, 44.075
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	275.296020507813, 285.156799316406, 303.997436523438,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	89%	7	59.1100006103516, 69.4300003051758, 78.0999984741211,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	62	241.9, 240.0, 237.9, 235.9, 233.5
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	91%	5	38.6, 35.6, 34.4, 28.2, 26.4

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

TZA 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	TZ, TZ, TZ, TZ, TZ
`life_expectancy`	Life expectancy	float	SEL	3%	64	42.596, 42.841, 43.215, 43.616, 44.075
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	15%	51	47.9, 47.1, 46.0, 45.0, 44.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	62	241.9, 240.0, 237.9, 235.9, 233.5
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	38	980.0, 971.0, 964.0, 949.0, 927.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.536, 6.562, 6.605, 6.647, 6.68
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	48.97, 49.136, 49.448, 49.686, 49.788
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	63	21.114, 20.981, 20.78, 20.551, 20.265
`physicians_per_1000`	Physicians per 1000	float	SEL	77%	13	0.055, 0.04, 0.045, 0.044, 0.044
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	70%	19	1.49044585227966, 1.43130004405975, 1.4371999502182,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	25	59.0, 55.0, 50.0, 52.0, 58.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	3.41529942, 4.23551702, 4.68907642, 5.34231472, 5.7373414

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

TZA 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	TZA, TZA, TZA, TZA, TZA
`country_name`	country_name	string	0%	1	Tanzania, Tanzania, Tanzania, Tanzania, Tanzania
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	574025.0, 1106043.0, 949600.0, 771153.0, 309847.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	5	2.2, 3.6, 2.8, 2.0, 0.7
`net_migration`	net_migration	float	0%	66	1946.0, 8338.0, 3916.0, 4333.0, 9090.0
`remittances_received_usd`	remittances_received_usd	float	53%	31	129667.2076, 840348.2086, 19318018.541, 1586283.7912,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	53%	31	0.00140004046419339, 0.0110116715468817,...
`remittances_paid_usd`	remittances_paid_usd	float	50%	33	6804527.76, 5308106.422, 6094358.921, 509776.4495, 810377.429

TZA Glottolog Language Catalog TZA-GLOTTOLOG Language

143 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)

TZA Glottolog - Languages — 143 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%	100	aasa1238, alag1248, aram1252, arus1242, asut1235
`name`	Name	string	CCL	0%	100	Aasax, Alagwa, Aramanik, Arusha, Asu (Tanzania)
`iso639_3`	Iso639 3	string	CCL	7%	93	aas, wbj, aam, asa, bmb
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	1%	6	afro1255, afro1255, book1242, unat1236, atla1278
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	1%	67	sout3054, nort3164, book1242, unat1236, pare1277
`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%	12	0, 0, 0, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	3%	96	-4.00679, -4.64148, -2.90656, -4.17978, -4.49057
`longitude`	longitude	float	3%	96	36.8648, 35.7231, 37.3491, 37.8323, 29.0507
`country_codes`	Country codes	string	0%	12	['TZ'], ['TZ'], ['TZ'], ['TZ'], ['KE', 'TZ']
`classification`	classification	string	0%	1	[], [], [], [], []

TZA UNHCR Refugee Data Finder TZA-UNHCR Migration

114 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)

TZA UNHCR - Hosted Populations — 65 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%	-	-

TZA UNHCR - Origin Populations — 49 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%	-	-

TZA LandScan Global (ORNL) TZA-LANDSCAN Modeled Population

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

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

TZA 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	TZA
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Tanzania
`admin_code`	Admin code	string	SEL	0%	1	36199320B23719009376906
`area_sqkm`	Area sqkm	float	SEL	0%	1	889851.3616
`pop_2024`	Population count	integer	SEL	0%	1	66915233
`pop_density_2024`	Population density	float	SEL	0%	1	75.2

1 Admin 1 — 1 table(s)

TZA LandScan - Population Admin1 (admin_1) — 30 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	TZA, TZA, TZA, TZA, TZA
`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%	30	Dar es Salaam, Mbeya, Mwanza, Tabora, Morogoro
`admin_code`	Admin code	string	SEL	0%	30	36957248B2633782293100, 36957248B75876472342648,...
`area_sqkm`	Area sqkm	float	SEL	0%	30	1637.5, 61416.6799, 24642.1341, 75593.9522, 70607.7827
`pop_2024`	Population count	integer	SEL	0%	30	5832493, 4038461, 4034307, 3709893, 3495209
`pop_density_2024`	Population density	float	SEL	0%	30	3561.83, 65.76, 163.72, 49.08, 49.5

Locality Locality — 1 table(s)

TZA LandScan - Cities (locality) — 45 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	TZA, TZA, TZA, TZA, TZA
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	45	Dar es-Salaam, Zanzibar City, Mwanza, Arusha, Mbeya
`admin_code`	Admin code	integer	SEL	0%	45	3570, 3673, 2053, 3193, 2369
`area_sqkm`	Area sqkm	float	SEL	0%	45	901.0997, 120.2076, 173.8322, 167.8751, 106.318
`pop_2024`	Population count	integer	SEL	0%	45	5674832, 857130, 837194, 789778, 481267
`pop_density_2024`	Population density	float	SEL	0%	45	6297.67, 7130.41, 4816.1, 4704.56, 4526.67

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%	45	8918525, 1026755, 977475, 806518, 587388
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	43	0.636, 0.835, 0.856, 0.979, 0.819

TZA D-PLACE TZA-DPLACE Ethnographic Societies

68 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)

TZA D-PLACE - Dplace Ea Societies — 34 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	TZA, TZA, TZA, TZA, TZA
`society_id`	Society id	string	CCL	0%	34	Ad36, Ad38, Ad39, Ad43, Ad47
`society_name`	Society name	string	CCL	0%	34	Pare, Kara, Sonjo, Kerewe, Sumbwa
`language_glottocode`	Language glottocode	string	CCL	0%	34	asut1235, kara1481, temi1247, kere1283, sumb1240
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	19	EA017:4; EA018:4; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	21	EA006:1; EA007:8; EA008:5; EA009:5; EA023:NA; EA025:NA,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	28	EA001:0; EA002:0; EA003:0; EA004:4; EA005:6; EA028:5;...
`political_complexity`	Political complexity	string	CCL	0%	8	EA032:2; EA033:1, EA032:2; EA033:1, EA032:2; EA033:1,...
`religion_importance`	Religion importance	string	CCL	0%	12	EA034:NA; EA112:NA, EA034:NA; EA112:NA, EA034:NA;...
`residence_pattern`	Residence pattern	string	CCL	0%	12	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	12	EA030:5; EA031:NA, EA030:6; EA031:4, EA030:7; EA031:5,...

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	United Republic of Tanzania, United Republic of...
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	10	-4.0, -2.0, -3.0, -3.0, -4.0
`longitude`	longitude	float	0%	12	38.0, 33.0, 36.0, 33.0, 32.0
`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
`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,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

TZA D-PLACE - Dplace Ea Societies Decoded — 34 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	TZA, TZA, TZA, TZA, TZA
`society_id`	society_id	string	CCL	0%	34	Ad36, Ad38, Ad39, Ad43, Ad47
`society_name`	society_name	string	CCL	0%	34	Pare, Kara, Sonjo, Kerewe, Sumbwa
`language_glottocode`	language_glottocode	string	CCL	0%	34	asut1235, kara1481, temi1247, kere1283, sumb1240
`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	United Republic of Tanzania, United Republic of...
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	10	-4.0, -2.0, -3.0, -3.0, -4.0
`longitude`	longitude	float	0%	12	38.0, 33.0, 36.0, 33.0, 32.0
`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
`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,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	3%	2	2, 2, 2, 2, 2
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	3%	4	1, 1, 1, 3, 3
`religion_high_gods`	religion_high_gods	integer	44%	3	2, 2, 2, 2, 2
`trance_states`	trance_states	integer	71%	6	4, 6, 5, 8, 8
`settlement_patterns`	settlement_patterns	integer	3%	5	5, 6, 7, 5, 5
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	71%	5	4, 5, 3, 3, 3
`marital_residence_first_years`	marital_residence_first_years	integer	0%	5	8, 8, 8, 8, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	3	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	6	8, 8, 8, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	4	9, 9, 9, 2, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	7	11, 11, 11, 6, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	4, 4, 4, 4, 4
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	3	4, 4, 4, 4, 4
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	3	1, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	3	1, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	4	9, 9, 9, 9, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	29%	6	5, 4, 5, 1, 5
`descent_major_type`	descent_major_type	integer	0%	6	1, 1, 1, 1, 1
+14 more extension fields — download the CSV/Parquet to see them all.

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

45 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)

TZA GHS-UCDB - Cities (locality) — 45 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%	45	Dar es-Salaam, Zanzibar City, Mwanza, Arusha, Mbeya
`country_code`	Country code	string	SEL	0%	1	TZA, TZA, TZA, TZA, TZA
`population`	Population count	integer	SEL	0%	45	8918525, 1026755, 977475, 806518, 587388

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	45	3570, 3673, 2053, 3193, 2369
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Tanzania, Tanzania, Tanzania, Tanzania, Tanzania
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

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

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1 Admin 1 — 1 table(s)

TZA Mobility by Region — 24 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	TZ, TZ, TZ, TZ, TZ
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	TZA, TZA, TZA, TZA, TZA

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	10	3.61, 24.74, 42.8, 0.0, 0.0
`grocery`	grocery	float	0%	8	6.87, 6.3, 0.0, 0.0, 0.0
`parks`	parks	float	0%	9	1.49, 71.65, 0.0, 0.0, 0.0
`transit`	transit	float	0%	19	-6.13, 17.45, 31.37, 0.0, 19.66
`workplaces`	workplaces	float	0%	23	-7.92, 2.72, 10.37, 0.48, -6.8
`residential`	residential	float	0%	8	3.2, 8.48, 5.58, 0.0, 0.0
`region`	region	string	0%	24	Arusha Region, Dar es Salam, Dodoma Region, Geita...
`observation_count`	observation_count	integer	0%	23	3755, 3896, 1941, 1424, 1898

TZA OpenFactBook TZA-OPENFACTBOOK Country Profile

15 rows · 15 tables · 2024 OpenFactBook 0 1 2 3 94 SEL 6 CCL 619 ext ▶

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0 Admin 0 — 15 table(s)

TZA 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	2023.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	127.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	29.0
`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	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`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	76,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	76000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	86.8 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	86.8
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	127 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	about 45 TV stations, with 13 national that broadcast...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	45.0
`internet_country_code_text`	Internet country code text	string	0%	1	.tz
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	29% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	1.66 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	1.66
`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/tz.json

TZA OpenFactBook - Economy — 1 rows, 152 columns

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Field details — 157 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	3700.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	78.78
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	26.4
`country_code`	Country code	string	SEL	0%	1	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (151) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	emerging lower middle-income East African economy;...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$246.706 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	246.706
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$233.786 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	233.786
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$222.506 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	222.506
`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	5.5% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	5.5
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	5.1% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	5.1
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4.6% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.6
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$3,700 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$3,600 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	3600.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$3,500 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	3500.0
`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	$78.78 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	3.1% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	3.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	3.8% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	3.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	4.4% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	4.4
`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	23.4% (2024 est.)
+121 more extension fields — download the CSV/Parquet to see them all.

TZA OpenFactBook - Energy — 1 rows, 47 columns

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Field details — 47 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	45.8
`country_code`	Country code	string	SEL	0%	1	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (43) — 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	45.8% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	74.7%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	74.7
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	36%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	36.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	1.818 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	1.818
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	9.109 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	9.109
`electricity_imports_text`	electricity_imports_text	string	0%	1	157.688 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	157.688
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	2.039 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	2.039
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	74.5% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	74.5
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.3% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.3
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	24.6% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	24.6
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.7% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.7
`coal_production_text`	coal_production_text	string	0%	1	2.341 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	2.341
`coal_consumption_text`	coal_consumption_text	string	0%	1	740,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	740000.0
`coal_exports_text`	coal_exports_text	string	0%	1	1.602 million metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	1.602
`coal_imports_text`	coal_imports_text	string	0%	1	21 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	21.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	1.41 billion metric tons (2023 est.)
+13 more extension fields — download the CSV/Parquet to see them all.

TZA OpenFactBook - Environment — 1 rows, 54 columns

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Field details — 59 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	44.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	50.1
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	37.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.89
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	9.277
`country_code`	Country code	string	SEL	0%	1	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (51) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	water pollution; improper management of liquid waste;...
`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	varies from tropical along coast to temperate in highlands
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	44.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 15.2% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	15.2
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 27.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	27.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	50.1% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	5.3% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	5.3
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	37.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.89% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	17.707 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	17.707
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1.687 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	1.687
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	12.066 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	12.066
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	3.954 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	3.954
`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
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	568.3 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	568.3
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	1,176.8 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	1176.8
+21 more extension fields — download the CSV/Parquet to see them all.

TZA 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	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`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	Tanzanian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Tanzanian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	mainland - African 99% (of which 95% are Bantu...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	99.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/tz.json

TZA OpenFactBook - Geography — 1 rows, 58 columns

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Field details — 64 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	947300.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	885800.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	61500.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	4161.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	1424.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	5895.0
`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	44.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	50.1
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	1840.0
`country_code`	Country code	string	SEL	0%	1	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (51) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Eastern Africa, bordering the Indian Ocean, between...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	6 00 S, 35 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	6.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	947,300 sq km
`area_land_text`	area_land_text	string	0%	1	885,800 sq km
`area_water_text`	area_water_text	string	0%	1	61,500 sq km
`area_note`	area_note	string	0%	1	note: includes the islands of Mafia, Pemba, and Zanzibar
`area_comparative_text`	area_comparative_text	string	0%	1	more than six times the size of Georgia; slightly larger...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	4,161 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Burundi 589 km; Democratic Republic of the Congo 479 km;...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	589.0
`coastline_text`	coastline_text	string	0%	1	1,424 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
`climate_text`	climate_text	string	0%	1	varies from tropical along coast to temperate in highlands
`terrain_text`	terrain_text	string	0%	1	plains along coast; central plateau; highlands in north, south
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Kilimanjaro (highest point in Africa) 5,895 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Indian Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	1,018 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	1018.0
`natural_resources_text`	natural_resources_text	string	0%	1	hydropower, tin, phosphates, iron ore, coal, diamonds,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	44.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 15.2% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	15.2
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 27.1% (2023 est.)
+21 more extension fields — download the CSV/Parquet to see them all.

TZA OpenFactBook - Government — 1 rows, 78 columns

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Field details — 106 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	TZA
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (104) — 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	United Republic of Tanzania
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Tanzania
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Jamhuri ya Muungano wa Tanzania
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Tanzania
`country_name_former_text`	country_name_former_text	string	0%	1	German East Africa, Trust Territory of Tanganyika,...
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the country's name is a combination of the first letters...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1964.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Dodoma
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	6 48 S, 39 17 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	6.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+3 (8 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	3.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name comes from the name of a nearby mountain; the...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	31 regions; Arusha, Dar es Salaam, Dodoma, Geita,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	31.0
`legal_system_text`	legal_system_text	string	0%	1	English common law; judicial review of legislative acts...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 25 April 1977
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	25.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the National Assembly; passage of amendments...
`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	at least one parent must be a citizen of Tanzania; if a...
`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 Samia Suluhu HASSAN (since 19 March 2021)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	19.0
+74 more extension fields — download the CSV/Parquet to see them all.

TZA 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	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`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	Tanzania contains some of Africa’s most iconic national...
`background_numeric`	background_numeric	float	0%	1	1498.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/tz.json

TZA OpenFactBook - Languages — 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	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`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_languages_text`	Languages (text)	string	0%	1	Kiswahili or Swahili (official), Kiunguja (name for...
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	The World Factbook, Chanzo cha Lazima Kuhusu Habari ya...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/tz.json

TZA OpenFactBook - Migration — 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	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`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
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	218,123 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	218123.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	75,117 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	75117.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/tz.json

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

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`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	Tanzania People's Defense Forces (TPDF or Jeshi la...
`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	1.3% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.3
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.2% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.2
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.2% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.2
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.1% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.1
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.2% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.2
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 25,000 active Defense Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	25000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the TPDF's inventory includes mostly British, Chinese,...
`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	generally 18-25 years of age for voluntary military...
`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	520 Central African Republic (MINUSCA); more than 1,000...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	520.0
`military_note_text`	military_note_text	string	0%	1	the chief concerns of the Tanzania Defense Forces (TDPF)...
`military_note_numeric`	military_note_numeric	float	0%	1	2024.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/tz.json

TZA OpenFactBook - People And Society — 1 rows, 139 columns

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Field details — 152 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	69145464.0
`population_male_numeric`	Population male	float	SEL	0%	1	34597449.0
`population_female_numeric`	Population female	float	SEL	0%	1	34548015.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	41.2
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	55.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	3.4
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	81.8
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	76.0
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	5.8
`median_age_total_numeric`	Median age	float	SEL	0%	1	18.8
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	2.85
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	33.45
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	4.96
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	0.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	37.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.89
`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	1.0
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	276.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	28.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	70.8
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	4.45
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	2.19
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.13
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	0.6
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	78.2
`country_code`	Country code	string	SEL	0%	1	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (123) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	69,145,464 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	34,597,449
`population_female_text`	population_female_text	string	0%	1	34,548,015
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	41.2% (male 14,039,292/female 13,740,439)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	55.4% (male 18,677,388/female 18,708,390)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	3.4% (2024 est.) (male 975,224/female 1,321,388)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	81.8 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	76 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	5.8 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	17.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	17.3
`median_age_total_text`	median_age_total_text	string	0%	1	18.8 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	18.8 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	18.8
`median_age_female_text`	median_age_female_text	string	0%	1	19.4 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	19.4
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	2.85% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	33.45 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	4.96 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	0 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the largest and most populous East African country;...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	37.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.89% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	262,000 Dodoma (legislative capital) (2018), 7.776...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	262000.0
`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	1 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.0
+93 more extension fields — download the CSV/Parquet to see them all.

TZA OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 22 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	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	63.1
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	34.1
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	0.5
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	0.5
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.5
`composition_ethnicity_primary_label_synth`	mainland - African	string	CCL	0%	-	mainland - 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	Christian 63.1%, Muslim 34.1%, folk religion 1.1%,...
`religions_numeric`	religions_numeric	float	0%	1	63.1
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/tz.json

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_folk_religion_pct_synth`	folk religion	numeric	0%	-	1.1
`composition_religion_jewish_pct_synth`	Jewish	numeric	0%	-	0.5
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	1.6
`composition_ethnicity_mainland_african_pct_synth`	mainland - African	numeric	0%	-	99.0
`composition_ethnicity_mainland_african__of_which_are_bantu_consisting_of_more_than_130_tribes_pct_synth`	of which are Bantu consisting of more than 130 tribes	numeric	0%	-	95.0
`composition_ethnicity_other_consisting_of_asian_european_and_arab_zanzibar_arab_pct_synth`	other (consisting of Asian, European, and Arab); Zanzibar - Arab	numeric	0%	-	1.0
`composition_ethnicity_african_pct_synth`	African	numeric	0%	-	-
`composition_ethnicity_mixed_arab_and_african_pct_synth`	mixed Arab and African	numeric	0%	-	-
`composition_ethnicity_primary_share_pct_synth`	mainland - African	numeric	0%	-	99.0

TZA 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	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	al-Shabaab; Islamic State of Iraq and ash-Sham (ISIS)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	africa/tz.json

TZA OpenFactBook - Transportation — 1 rows, 31 columns

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Field details — 34 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	206.0
`country_code`	Country code	string	SEL	0%	1	TZA
`country_name`	Country name	string	SEL	0%	1	Tanzania
`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
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	5H
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	5.0
`airports_text`	airports_text	string	0%	1	206 (2025)
`railways_total_text`	railways_total_text	string	0%	1	4,097 km (2022)
`railways_total_numeric`	railways_total_numeric	float	0%	1	4097.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	421 km (2022)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	421.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	969 km (2022) 1.067 m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	969.0
`railways_broad_gauge_text`	railways_broad_gauge_text	string	0%	1	2,707 km (2022) 1.000 m guage
`railways_broad_gauge_numeric`	railways_broad_gauge_numeric	float	0%	1	2707.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	381 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	381.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 4, container ship 17, general cargo 170,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	4.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	8 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	8.0
`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	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	1.0
`ports_small_text`	ports_small_text	float	0%	1	3
`ports_small_numeric`	ports_small_numeric	float	0%	1	3.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	4
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	4.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	4
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	4.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Chake Chake, Dar Es Salaam, Tanga, Zanzibar
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/tz.json

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

TZA Inform - Risk Index — 1 rows, 293 columns

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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	TZA
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	341542.857142857
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.171428571428571
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.478165097239936
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	885800.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.075
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.109365164737341
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	5.1
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	1.41761827468872
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	6.1
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	6.4
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	6.5
`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	3.3
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	2.7
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	4.2
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	2.9
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	3.1
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.7
`inform_cc_inf_com`	Communication	float	0%	1	5.0
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	3.8
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	4.8
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	4.3
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	6.9
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	7.8
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	7.1
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.3
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	7.0
`inform_institutional_capacity`	Institutional	float	0%	1	5.7
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	5.5
+263 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

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