Guinea

GIN World Bank Open Data GIN-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)

GIN 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	GN, GN, GN, GN, GN
`population_count`	Population count	float	SEL	2%	65	3556749.0, 3619551.0, 3684273.0, 3750954.0, 3819722.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	36.623, 36.816, 36.997, 37.196, 37.415
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	17%	55	752.822503572388, 825.289977053096, 948.497421297055,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	92%	5	20.5499992370606, 29.7000007629394, 25.3099994659424,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	349.5, 347.2, 344.3, 341.8, 339.3
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	99%	1	43.7

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

GIN 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	GN, GN, GN, GN, GN
`life_expectancy`	Life expectancy	float	SEL	3%	64	36.623, 36.816, 36.997, 37.196, 37.415
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	27%	48	69.9, 70.5, 71.5, 72.4, 73.3
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	349.5, 347.2, 344.3, 341.8, 339.3
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	1248.0, 1234.0, 1218.0, 1202.0, 1188.0
`fertility_rate`	Fertility rate	float	SEL	3%	61	6.112, 6.126, 6.14, 6.153, 6.166
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	63	45.623, 45.605, 45.579, 45.551, 45.528
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	28.234, 27.988, 27.754, 27.505, 27.242
`physicians_per_1000`	Physicians per 1000	float	SEL	74%	15	0.036, 0.022, 0.02, 0.022, 0.022
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	91%	5	0.739158153533936, 1.75849997997284, 0.584100008010864,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	35%	21	15.0, 15.0, 15.0, 15.0, 15.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.74101353, 4.88433027, 5.35653734, 4.77216482, 4.77632809

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

GIN 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	GIN, GIN, GIN, GIN, GIN
`country_name`	country_name	string	0%	1	Guinea, Guinea, Guinea, Guinea, Guinea
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	403621.0, 774505.0, 560075.0, 233419.0, 178762.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	8	6.3, 10.3, 6.6, 2.5, 1.7
`net_migration`	net_migration	float	0%	58	0.0, 0.0, 0.0, 0.0, 0.0
`remittances_received_usd`	remittances_received_usd	float	41%	38	70000.0003, 70000.0003, 26709999.08, 22340000.15, 17969999.31
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	41%	39	0.00240621738293584, 0.00235158634156951,...
`remittances_paid_usd`	remittances_paid_usd	float	41%	39	11750000.0, 11720000.27, 19729999.54, 18329999.92, 20400000.0

GIN UNHCR Refugee Data Finder GIN-UNHCR Migration

81 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)

GIN UNHCR - Hosted Populations — 36 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%	-	-

GIN UNHCR - Origin Populations — 45 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%	-	-

GIN USAID DHS Program GIN-DHS Health Surveys

77 rows · 2 tables · 2021 USAID DHS Program 0 1 2 3 7 SEL 3 CCL 10 ext ▶

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1 Admin 1 — 2 table(s)

GIN DHS - Ethnicity Indicators — 40 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	35	12.7, 24.4, 19.0, 20.5, 10.1
`men_who_are_literate`	Men who are literate	float	CCL	20%	29	34.9, 48.0, 48.7, 33.5, 41.7

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Guinea, Guinea, Guinea, Guinea, Guinea
`survey_year`	survey_year	integer	0%	4	2005, 2012, 2018, 2021, 2005
`region`	region	string	0%	12	Boké, Boké, Boké, Boké, Central Guinea
`survey_id`	survey_id	string	0%	4	GN2005DHS, GN2012DHS, GN2018DHS, GN2021MIS, GN2005DHS
`survey_type`	survey_type	string	0%	2	DHS, DHS, DHS, MIS, DHS

GIN DHS - Health Indicators — 37 rows, 12 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	32	4.7, 6.3, 5.0, 2.5, 2.0
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	28	91.0, 65.0, 64.0, 100.0, 101.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	32	170.0, 104.0, 124.0, 182.0, 183.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	35	32.3, 41.0, 16.9, 22.4, 28.8
`children_underweight`	Children underweight	float	CCL	0%	32	14.5, 15.6, 20.4, 20.4, 19.6
`hiv_prevalence_pct`	Hiv prevalence percent	float	SEL	14%	13	1.2, 1.6, 2.0, 1.5, 1.8

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Guinea, Guinea, Guinea, Guinea, Guinea
`survey_year`	survey_year	integer	0%	4	2005, 2012, 2018, 1999, 2005
`region`	region	string	0%	12	Boké, Boké, Boké, Central Guinea, Central Guinea
`survey_id`	survey_id	string	0%	4	GN2005DHS, GN2012DHS, GN2018DHS, GN1999DHS, GN2005DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

GIN Glottolog Language Catalog GIN-GLOTTOLOG Language

53 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)

GIN Glottolog - Languages — 53 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%	53	bady1239, baga1270, baga1271, baga1272, baga1273
`name`	Name	string	CCL	0%	53	Jaad-Badyara, Baga Manduri, Baga Kaloum, Baga Sitemu, Baga Koga
`iso639_3`	Iso639 3	string	CCL	4%	51	pbp, bmd, bqf, bsp, bgo
`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%	7	atla1278, atla1278, book1242, atla1278, atla1278
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	33	jaad1234, temn1245, book1242, temn1245, temn1245
`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%	10	0, 0, 0, 1, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	4%	50	12.6425, 10.76747, 9.951, 10.4793, 10.1286
`longitude`	longitude	float	4%	51	-13.4759, -14.60521, -12.887, -14.4756, -13.947
`country_codes`	Country codes	string	0%	20	['GN', 'GW', 'SN'], ['GN'], ['GN'], ['GN'], ['GN']
`classification`	classification	string	0%	1	[], [], [], [], []

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

46 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 29 ext ▶

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0 Admin 0 — 3 table(s)

GIN NGA GNS - Language — 4 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	GIN, GIN, GIN, GIN
`gns_language_code`	gns_language_code	string	CCL	0%	4	eng, fra, spa, deu
`gns_language_name`	gns_language_name	string	CCL	0%	4	English, French, Spanish, German
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	56, 28, 1, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	65.1163, 32.5581, 1.1628, 1.1628
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 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, 0

GIN NGA GNS - Summary — 1 rows, 25 columns

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Field details — 25 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	GIN
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Guinea
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.985
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	13341
`gns_feature_count`	gns_feature_count	integer	0%	1	10567
`gns_endonym_count`	gns_endonym_count	integer	0%	1	13339
`gns_exonym_count`	gns_exonym_count	integer	0%	1	2
`gns_source_build_date`	gns_source_build_date	string	0%	1	Mon, 07 Sep 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-09-07
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	3351
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	2592
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	8462
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	6779
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	1252
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	1046
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	47
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	32
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	100
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	76
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	129
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	42

GIN NGA GNS - Admin Crosswalk — 41 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	GIN, GIN, GIN, GIN, GIN

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	41	11803034, -1178388, 11803061, 11803036, 11803037
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	34	Boké, Conakry, Faranah, Kankan, Kindia
`gns_local_name`	gns_local_name	string	100%	-	-
`iso_3166_2`	iso_3166_2	string	0%	8	GN-B, GN-C, GN-F, GN-K, GN-D
`parent_code`	parent_code	string	0%	8	GIN, GIN, GIN, GIN, GIN
`gns_prominence_band`	gns_prominence_band	integer	0%	2	7, 7, 9, 7, 7
`latitude`	latitude	float	0%	34	11.45, 9.633333, 10.5, 10.583333, 10.216667
`longitude`	longitude	float	0%	39	-13.816667, -13.566667, -10.666667, -9.333333, -13.116667
`gns_mgrs`	gns_mgrs	string	0%	41	28PFT2908066002, 28PFR5727565202, 29PLM1760361179,...
`name_variant_count`	name_variant_count	integer	0%	5	2, 6, 2, 2, 2

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

43 rows · 3 tables · 2024 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

GIN COD PS - GIN 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	GN
`region_name`	Region name	string	SEL	0%	1	Guinea
`F_TL`	Female population	integer	SEL	0%	1	7183852
`M_TL`	Male population	integer	SEL	0%	1	6805936
`T_TL`	Total population	integer	SEL	0%	1	13989788

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	2024
`year`	year	integer	0%	1	2024
`F_00_04`	Female population age 0-4	integer	0%	1	1088478
`F_05_09`	Female population age 5-9	integer	0%	1	982875
`F_10_14`	Female population age 10-14	integer	0%	1	899053
`F_15_19`	Female population age 15-19	integer	0%	1	772715
`F_20_24`	Female population age 20-24	integer	0%	1	635621
`F_25_29`	Female population age 25-29	integer	0%	1	547351
`F_30_34`	Female population age 30-34	integer	0%	1	494353
`F_35_39`	Female population age 35-39	integer	0%	1	420573
`F_40_44`	Female population age 40-44	integer	0%	1	334629
`F_45_49`	Female population age 45-49	integer	0%	1	270635
`F_50_54`	Female population age 50-54	integer	0%	1	211233
`F_55_59`	Female population age 55-59	integer	0%	1	165156
`F_60_64`	Female population age 60-64	integer	0%	1	122209
`F_65_69`	Female population age 65-69	integer	0%	1	91171
`F_70_74`	Female population age 70-74	integer	0%	1	65520
`F_75_79`	Female population age 75-79	integer	0%	1	42559
`F_80Plus`	F_80Plus	integer	0%	1	39721
`M_00_04`	Male population age 0-4	integer	0%	1	1106723
`M_05_09`	Male population age 5-9	integer	0%	1	996925
`M_10_14`	Male population age 10-14	integer	0%	1	932253
`M_15_19`	Male population age 15-19	integer	0%	1	782195
`M_20_24`	Male population age 20-24	integer	0%	1	616281
`M_25_29`	Male population age 25-29	integer	0%	1	495326
`M_30_34`	Male population age 30-34	integer	0%	1	391044
`M_35_39`	Male population age 35-39	integer	0%	1	319167
`M_40_44`	Male population age 40-44	integer	0%	1	258254
`M_45_49`	Male population age 45-49	integer	0%	1	214824
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

GIN COD PS - GIN Codps (admin_1) — 8 rows, 59 columns

Loading data…

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%	8	GN001, GN002, GN003, GN004, GN005
`region_name`	Region name	string	SEL	0%	8	Boke, Conakry, Faranah, Kankan, Kindia
`F_TL`	Female population	integer	SEL	0%	8	735112, 1093289, 648643, 1306734, 1073286
`M_TL`	Male population	integer	SEL	0%	8	706583, 1118146, 604554, 1305764, 1003590
`T_TL`	Total population	integer	SEL	0%	8	1441695, 2211435, 1253197, 2612498, 2076876

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	2024, 2024, 2024, 2024, 2024
`year`	year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	8	113273, 131168, 100040, 243455, 167335
`F_05_09`	Female population age 5-9	integer	0%	8	101995, 122366, 98714, 198406, 150253
`F_10_14`	Female population age 10-14	integer	0%	8	90607, 149135, 82964, 162316, 130975
`F_15_19`	Female population age 15-19	integer	0%	8	80475, 140314, 63412, 145068, 114961
`F_20_24`	Female population age 20-24	integer	0%	8	63569, 143929, 47133, 108638, 99377
`F_25_29`	Female population age 25-29	integer	0%	8	58431, 101063, 45550, 98617, 81783
`F_30_34`	Female population age 30-34	integer	0%	8	50113, 82546, 44572, 84468, 75929
`F_35_39`	Female population age 35-39	integer	0%	8	43114, 60088, 39183, 69232, 61554
`F_40_44`	Female population age 40-44	integer	0%	8	34406, 45932, 32157, 50553, 51768
`F_45_49`	Female population age 45-49	integer	0%	8	27346, 35259, 25963, 40207, 37953
`F_50_54`	Female population age 50-54	integer	0%	8	21072, 25528, 20612, 29814, 31107
`F_55_59`	Female population age 55-59	integer	0%	8	15042, 22529, 15729, 23094, 19890
`F_60_64`	Female population age 60-64	integer	0%	8	12246, 12570, 11691, 17384, 18059
`F_65_69`	Female population age 65-69	integer	0%	8	8398, 8897, 8150, 13823, 11300
`F_70_74`	Female population age 70-74	integer	0%	8	6727, 5358, 5917, 9424, 9614
`F_75_79`	Female population age 75-79	integer	0%	8	4089, 3457, 3691, 6443, 5237
`F_80Plus`	F_80Plus	integer	0%	8	4209, 3150, 3165, 5792, 6191
`M_00_04`	Male population age 0-4	integer	0%	8	116304, 130898, 101822, 247803, 169274
`M_05_09`	Male population age 5-9	integer	0%	8	104977, 111759, 100017, 207370, 155765
`M_10_14`	Male population age 10-14	integer	0%	8	97383, 126196, 93196, 173171, 137865
`M_15_19`	Male population age 15-19	integer	0%	8	84541, 138708, 69024, 146453, 111662
`M_20_24`	Male population age 20-24	integer	0%	8	61056, 164147, 42805, 111737, 86685
`M_25_29`	Male population age 25-29	integer	0%	8	51932, 121442, 33997, 97947, 68083
`M_30_34`	Male population age 30-34	integer	0%	8	39600, 86444, 29372, 74753, 55802
`M_35_39`	Male population age 35-39	integer	0%	8	34052, 63476, 25635, 58164, 45794
`M_40_44`	Male population age 40-44	integer	0%	8	26060, 49270, 21734, 43908, 39584
`M_45_49`	Male population age 45-49	integer	0%	8	21541, 36506, 19564, 37169, 31097
+24 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

GIN COD PS - GIN Codps (admin_2) — 34 rows, 59 columns

Loading data…

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%	34	GN001001, GN001002, GN001005, GN001003, GN001004
`region_name`	Region name	string	SEL	0%	34	Boffa, Boke, Fria, Gaoual, Koundara
`F_TL`	Female population	integer	SEL	0%	34	143075, 301434, 66915, 135374, 88314
`M_TL`	Male population	integer	SEL	0%	34	139941, 297713, 61830, 122420, 84679
`T_TL`	Total population	integer	SEL	0%	34	283016, 599147, 128745, 257794, 172993

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	2024, 2024, 2024, 2024, 2024
`year`	year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	34	25042, 45292, 9573, 20526, 12840
`F_05_09`	Female population age 5-9	integer	0%	34	19691, 41203, 8799, 20194, 12108
`F_10_14`	Female population age 10-14	integer	0%	34	15371, 37888, 8979, 17017, 11352
`F_15_19`	Female population age 15-19	integer	0%	34	14275, 35851, 7242, 13251, 9856
`F_20_24`	Female population age 20-24	integer	0%	34	12420, 28151, 5623, 9899, 7476
`F_25_29`	Female population age 25-29	integer	0%	34	11166, 25193, 4631, 10385, 7056
`F_30_34`	Female population age 30-34	integer	0%	34	10036, 20200, 4528, 9256, 6093
`F_35_39`	Female population age 35-39	integer	0%	34	8480, 17117, 3733, 8432, 5352
`F_40_44`	Female population age 40-44	integer	0%	34	7003, 13415, 3396, 6656, 3936
`F_45_49`	Female population age 45-49	integer	0%	34	4990, 10723, 2833, 5380, 3420
`F_50_54`	Female population age 50-54	integer	0%	34	4294, 8054, 2098, 4100, 2526
`F_55_59`	Female population age 55-59	integer	0%	34	2577, 5701, 1775, 3143, 1846
`F_60_64`	Female population age 60-64	integer	0%	34	2633, 4379, 1376, 2394, 1464
`F_65_69`	Female population age 65-69	integer	0%	33	1542, 2856, 967, 1896, 1137
`F_70_74`	Female population age 70-74	integer	0%	34	1522, 2342, 684, 1327, 852
`F_75_79`	Female population age 75-79	integer	0%	34	852, 1511, 337, 831, 558
`F_80Plus`	F_80Plus	integer	0%	34	1181, 1558, 341, 687, 442
`M_00_04`	Male population age 0-4	integer	0%	34	26285, 46182, 9302, 21290, 13245
`M_05_09`	Male population age 5-9	integer	0%	34	22261, 41668, 8739, 20006, 12303
`M_10_14`	Male population age 10-14	integer	0%	34	19083, 39659, 9060, 17854, 11727
`M_15_19`	Male population age 15-19	integer	0%	34	15038, 38654, 7811, 13281, 9757
`M_20_24`	Male population age 20-24	integer	0%	34	10306, 29046, 5257, 9085, 7362
`M_25_29`	Male population age 25-29	integer	0%	34	9305, 24488, 3952, 7882, 6305
`M_30_34`	Male population age 30-34	integer	0%	34	7513, 17746, 3347, 5943, 5051
`M_35_39`	Male population age 35-39	integer	0%	34	6586, 14954, 2916, 5500, 4096
`M_40_44`	Male population age 40-44	integer	0%	34	5276, 10868, 2648, 4123, 3145
`M_45_49`	Male population age 45-49	integer	0%	34	4163, 8658, 2099, 3833, 2788
+24 more pending fields — download the CSV/Parquet to see them all.

GIN LandScan Global (ORNL) GIN-LANDSCAN Modeled Population

33 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)

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

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GIN
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Guinea
`admin_code`	Admin code	string	SEL	0%	1	15034222B8370409983379
`area_sqkm`	Area sqkm	float	SEL	0%	1	244934.594
`pop_2024`	Population count	integer	SEL	0%	1	13901953
`pop_density_2024`	Population density	float	SEL	0%	1	56.76

1 Admin 1 — 1 table(s)

GIN LandScan - Population Admin1 (admin_1) — 8 rows, 7 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GIN, GIN, GIN, GIN, GIN
`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%	8	Kankan, Conakry, Nzerekore, Kindia, Boke
`admin_code`	Admin code	string	SEL	0%	8	385441B85233176952124, 385441B29247776226513,...
`area_sqkm`	Area sqkm	float	SEL	0%	8	71734.9318, 435.8838, 36575.9902, 25632.6772, 34220.9669
`pop_2024`	Population count	integer	SEL	0%	8	2585926, 2154459, 2120889, 2073584, 1440458
`pop_density_2024`	Population density	float	SEL	0%	8	36.05, 4942.74, 57.99, 80.9, 42.09

Locality Locality — 1 table(s)

GIN LandScan - Cities (locality) — 24 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GIN, GIN, GIN, GIN, GIN
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	24	Coyah, Nzérékoré, Kankan, Kindia, Siguiri
`admin_code`	Admin code	integer	SEL	0%	24	673, 2338, 1938, 933, 2181
`area_sqkm`	Area sqkm	float	SEL	0%	24	303.0719, 44.7098, 47.6993, 39.7483, 41.7408
`pop_2024`	Population count	integer	SEL	0%	24	2613377, 270753, 232759, 199159, 185842
`pop_density_2024`	Population density	float	SEL	0%	24	8622.96, 6055.79, 4879.72, 5010.5, 4452.29

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%	24	2991111, 298616, 287892, 197264, 304099
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	23	0.874, 0.907, 0.808, 1.01, 0.611

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

24 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)

GIN GHS-UCDB - Cities (locality) — 24 rows, 10 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	24	Coyah, Siguiri, Nzérékoré, Kankan, Labé
`country_code`	Country code	string	SEL	0%	1	GIN, GIN, GIN, GIN, GIN
`population`	Population count	integer	SEL	0%	24	2991111, 304099, 298616, 287892, 245719

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	24	673, 2181, 2338, 1938, 1053
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Guinea, Guinea, Guinea, Guinea, Guinea
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

GIN D-PLACE GIN-DPLACE Ethnographic Societies

14 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 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)

GIN D-PLACE - Dplace Ea Societies — 7 rows, 23 columns

Loading data…

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	GIN, GIN, GIN, GIN, GIN
`society_id`	Society id	string	CCL	0%	7	Af11, Af2, Ag14, Ag21, Ag54
`society_name`	Society name	string	CCL	0%	7	Toma, Kissi, Baga, Bassari, Yalunka
`language_glottocode`	Language glottocode	string	CCL	0%	7	toma1245, nort2765, mbul1258, bass1258, yalu1240
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	7	EA017:4; EA018:3; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	7	EA006:1; EA007:8; EA008:5; EA009:5; EA023:13; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	7	EA001:0; EA002:1; EA003:2; EA004:1; EA005:6; EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	4	EA032:3; EA033:2, EA032:4; EA033:2, EA032:4; EA033:2,...
`religion_importance`	Religion importance	string	CCL	0%	5	EA034:2; EA112:5, EA034:NA; EA112:7, EA034:NA; EA112:NA,...
`residence_pattern`	Residence pattern	string	CCL	0%	2	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	5	EA030:7; EA031:4, EA030:7; EA031:3, EA030:7; EA031:NA,...

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	Guinea, Guinea, Guinea, Guinea, Guinea
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	4	11.0, 9.0, 10.0, 12.0, 10.0
`longitude`	longitude	float	0%	5	-9.0, -10.0, -14.0, -13.0, -12.0
`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

GIN D-PLACE - Dplace Ea Societies Decoded — 7 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	GIN, GIN, GIN, GIN, GIN
`society_id`	society_id	string	CCL	0%	7	Af11, Af2, Ag14, Ag21, Ag54
`society_name`	society_name	string	CCL	0%	7	Toma, Kissi, Baga, Bassari, Yalunka
`language_glottocode`	language_glottocode	string	CCL	0%	7	toma1245, nort2765, mbul1258, bass1258, yalu1240
`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	Guinea, Guinea, Guinea, Guinea, Guinea
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	4	11.0, 9.0, 10.0, 12.0, 10.0
`longitude`	longitude	float	0%	5	-9.0, -10.0, -14.0, -13.0, -12.0
`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	0%	3	3, 4, 4, 2, 4
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	0%	2	2, 2, 2, 2, 2
`religion_high_gods`	religion_high_gods	integer	43%	2	2, 2, 4, 4
`trance_states`	trance_states	integer	71%	2	5, 7
`settlement_patterns`	settlement_patterns	integer	0%	2	7, 7, 7, 7, 8
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	57%	3	4, 3, 5
`marital_residence_first_years`	marital_residence_first_years	integer	0%	1	8, 8, 8, 8, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	1	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	1	8, 8, 8, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	1	9, 9, 9, 9, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	2	11, 11, 11, 1, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	4, 4, 3, 1, 3
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	2	3, 3, 3, 1, 3
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	2	1, 1, 1, 4, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	2	1, 1, 1, 3, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	1	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	43%	2	4, 5, 5, 5
`descent_major_type`	descent_major_type	integer	0%	2	1, 1, 1, 3, 1
+14 more extension fields — download the CSV/Parquet to see them all.

GIN OpenFactBook GIN-OPENFACTBOOK Country Profile

14 rows · 14 tables · 2024 OpenFactBook 0 1 2 3 90 SEL 3 CCL 552 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 — 14 table(s)

GIN OpenFactBook - Communications — 1 rows, 21 columns

Loading data…

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	2022.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	109.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	27.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2022.0
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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	0 (2022 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	0.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	(2022 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	15.3 million (2022 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	15.3
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	109 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	government maintains control over broadcast media;...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2022.0
`internet_country_code_text`	Internet country code text	string	0%	1	.gn
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	27% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	1,000 (2022 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	1000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2022 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

GIN OpenFactBook - Economy — 1 rows, 145 columns

Loading data…

Field details — 151 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	4000.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	25.334
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	43.7
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (145) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	growing but primarily agrarian West African economy;...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$59.439 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	59.439
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$56.251 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	56.251
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$53.297 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	53.297
`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	5.7% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	5.7
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	5.5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	5.5
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.0
`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	$4,000 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$3,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	3900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$3,800 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	3800.0
`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	$25.334 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	8.1% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	8.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	7.8% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	7.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	10.5% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	10.5
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+115 more extension fields — download the CSV/Parquet to see them all.

GIN OpenFactBook - Energy — 1 rows, 29 columns

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Field details — 29 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	47.7
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (25) — 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	47.7% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	91%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	91.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	21.3%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	21.3
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	1.06 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	1.06
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	3.624 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	3.624
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	424.356 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	424.356
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	25.3% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	25.3
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.6% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.6
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	74.1% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	74.1
`coal_imports_text`	coal_imports_text	string	0%	1	400 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	400.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	32,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	32000.0
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text	string	0%	1	5.235 million Btu/person (2023 est.)
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric	float	0%	1	5.235
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

GIN 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	73.2
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	20.3
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	38.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.64
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	596900.0
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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; inadequate potable water;...
`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	generally hot and humid; monsoonal-type rainy season...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	73.2% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 24.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	24.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 5.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	5.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 43.5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	43.5
`land_use_forest_text`	land_use_forest_text	string	0%	1	20.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	6.5% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	6.5
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	38.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.64% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	4.505 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	4.505
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1,000 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	1000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	4.504 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	4.504
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	34.2 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	34.2
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	596,900 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	23.9% (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	23.9
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	230 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	230.0
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	60 million cubic meters (2022 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

GIN 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	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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	Guinean(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Guinean
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Fulani (Peuhl) 33.4%, Malinke 29.4%, Susu 21.2%, Guerze...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	33.4
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

GIN OpenFactBook - Geography — 1 rows, 52 columns

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Field details — 56 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	245857.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	245717.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	140.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	4046.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	320.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	1752.0
`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	73.2
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	20.3
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	949.0
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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
`location_text`	location_text	string	0%	1	Western Africa, bordering the North Atlantic Ocean,...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	11 00 N, 10 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	11.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	245,857 sq km
`area_land_text`	area_land_text	string	0%	1	245,717 sq km
`area_water_text`	area_water_text	string	0%	1	140 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than Oregon; slightly larger than twice...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	4,046 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Cote d'Ivoire 816 km; Guinea-Bissau 421 km; Liberia 590...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	816.0
`coastline_text`	coastline_text	string	0%	1	320 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	generally hot and humid; monsoonal-type rainy season...
`terrain_text`	terrain_text	string	0%	1	generally flat coastal plain, hilly to mountainous interior
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Mont Nimba 1,752 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Atlantic Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	472 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	472.0
`natural_resources_text`	natural_resources_text	string	0%	1	bauxite, iron ore, diamonds, gold, uranium, hydropower,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	73.2% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 24.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	24.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 5.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	5.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 43.5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	43.5
+13 more extension fields — download the CSV/Parquet to see them all.

GIN OpenFactBook - Government — 1 rows, 75 columns

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Field details — 98 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	GIN
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (96) — 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 Guinea
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Guinea
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	République de Guinée
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Guinée
`country_name_former_text`	country_name_former_text	string	0%	1	French Guinea
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the country is named after the Guinea region of West...
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Conakry
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	9 30 N, 13 42 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	9.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC 0 (5 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	0.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name derives from konakri, a Susu word meaning "over...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	7 administrative regions (régions administratives,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	7.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the French model
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1958, 1990; 2010 and a referendum in 2020,...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1958.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Guinea
`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	na
`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 Col. Mamady DOUMBOUYA (since 17 January 2026)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	17.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Prime Minister Amadou Oury BAH (since 27 February 2024)
`executive_branch_head_of_government_numeric`	executive_branch_head_of_government_numeric	float	0%	1	27.0
`executive_branch_cabinet_text`	executive_branch_cabinet_text	string	0%	1	formerly the Council of Ministers appointed by the president
+66 more extension fields — download the CSV/Parquet to see them all.

GIN OpenFactBook - Introduction — 1 rows, 6 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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	Guinea's deep Muslim heritage arrived via the...
`background_numeric`	background_numeric	float	0%	1	11.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

GIN OpenFactBook - Languages — 1 rows, 6 columns

Loading data…

Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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
`languages_text`	languages_text	string	0%	1	French (official), Pular, Maninka, Susu, other native languages
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

GIN 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	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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	2,343 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	2343.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	5,160 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	5160.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

GIN OpenFactBook - Military And Security — 1 rows, 20 columns

Loading data…

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	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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	Guinean (or National) Armed Forces (Forces Armées...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	2.1% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	2.1
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	2.1% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.1
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.8% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.8
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.5% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.5
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 10-12,000 active Armed Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	10.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Guinean military's inventory consists almost...
`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 years of age for voluntary and selective conscripted...
`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 Guinean military is responsible for territorial...
`military_note_numeric`	military_note_numeric	float	0%	1	2021.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

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

Loading data…

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	14374590.0
`population_male_numeric`	Population male	float	SEL	0%	1	7179661.0
`population_female_numeric`	Population female	float	SEL	0%	1	7194929.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	40.9
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	55.1
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	4.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	81.5
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	74.1
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	7.4
`median_age_total_numeric`	Median age	float	SEL	0%	1	19.5
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	2.74
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	35.04
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	7.69
`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	38.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.64
`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	494.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	45.8
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	64.6
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	4.75
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	2.34
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.21
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	39.6
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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	14,374,590 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	7,179,661
`population_female_text`	population_female_text	string	0%	1	7,194,929
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	40.9% (male 2,884,146/female 2,835,794)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	55.1% (male 3,846,852/female 3,856,366)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	4% (2024 est.) (male 254,608/female 308,413)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	81.5 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	74.1 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	7.4 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	13.6 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	13.6
`median_age_total_text`	median_age_total_text	string	0%	1	19.5 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	19.2 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	19.2
`median_age_female_text`	median_age_female_text	string	0%	1	19.6 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	19.6
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	2.74% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	35.04 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	7.69 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	areas of highest density are in the west and south;...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	38.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.64% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	2.111 million CONAKRY (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	2.111
`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
+86 more extension fields — download the CSV/Parquet to see them all.

GIN OpenFactBook - Religions — 1 rows, 6 columns

Loading data…

Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	85.2
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	13.4
`composition_ethnicity_primary_label_synth`	Fulani (Peuhl)	string	CCL	0%	-	Fulani (Peuhl)

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	Muslim 85.2%, Christian 13.4%, animist 0.2%, none 1.2%...
`religions_numeric`	religions_numeric	float	0%	1	85.2
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

Pending (10) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_animist_pct_synth`	animist	numeric	0%	-	0.2
`composition_religion_none_pct_synth`	none	numeric	0%	-	1.2
`composition_ethnicity_fulani_peuhl_pct_synth`	Fulani (Peuhl)	numeric	0%	-	33.4
`composition_ethnicity_malinke_pct_synth`	Malinke	numeric	0%	-	29.4
`composition_ethnicity_susu_pct_synth`	Susu	numeric	0%	-	21.2
`composition_ethnicity_guerze_pct_synth`	Guerze	numeric	0%	-	7.8
`composition_ethnicity_kissi_pct_synth`	Kissi	numeric	0%	-	6.2
`composition_ethnicity_toma_pct_synth`	Toma	numeric	0%	-	1.6
`composition_ethnicity_other_foreign_pct_synth`	other/foreign	numeric	0%	-	0.4
`composition_ethnicity_primary_share_pct_synth`	Fulani (Peuhl)	numeric	0%	-	33.4

GIN OpenFactBook - Transportation — 1 rows, 32 columns

Loading data…

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	16.0
`country_code`	Country code	string	SEL	0%	1	GIN
`country_name`	Country name	string	SEL	0%	1	Guinea
`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	3X
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	3.0
`airports_text`	airports_text	string	0%	1	16 (2025)
`heliports_text`	heliports_text	string	0%	1	1 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	1.0
`railways_total_text`	railways_total_text	string	0%	1	1,086 km (2017)
`railways_total_numeric`	railways_total_numeric	float	0%	1	1086.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	279 km (2017) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	279.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	807 km (2017) 1.000-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	807.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	2 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	2.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	other 2
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	2.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	4 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	4.0
`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	0
`ports_small_numeric`	ports_small_numeric	float	0%	1	0.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	3
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	3.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	2
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	2.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Benti, Conakry, Kamsar, Victoria
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/gv.json

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

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

1 rows × 291 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

GIN Inform - Risk Index — 1 rows, 291 columns

Loading data…

Field details — 291 fields (type, nulls, unique, samples)

Pending (291) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	GIN
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	0.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0285714285714286
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	245720.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.025
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.487184113502307
`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	2.46482443809509
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	6.2
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	7.2
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	8.1
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.6
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	7.7
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	6.1
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	9.2
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	5.5
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.5
`inform_cc_inf_com`	Communication	float	0%	1	6.3
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	5.2
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	4.6
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	8.7
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	6.7
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	7.1
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	5.2
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	8.7
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	7.5
`inform_institutional_capacity`	Institutional	float	0%	1	5.0
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	3.0
`inform_cc_ins_drr_sg_dsr_lgrgsr`	Disaster Risk Reduction SG_DSR_LGRGSR [CC.INS.DRR.SG_DSR_LGRGSR]	float	0%	1	0.0
+261 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)	56	65.1%	—
French (fra)	28	32.6%	—
Spanish (spa)	1	1.2%	—
German (deu)	1	1.2%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
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