Uruguay

URY INE Uruguay (Instituto Nacional de Estadistica) URY-INE_CENSO2023 Census

1,452 rows · 4 tables · 2023 INE Uruguay (Instituto Nacional de Estadistica) 0 1 2 3 18 SEL 1,485 ext ▶

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0 Admin 0 — 1 table(s)

URY INE Censo2023 - URY Censo2023 National — 1 rows, 1,396 columns

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Field details — 1396 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_level`	admin_level	string	SEL	0%	1	admin_0
`name`	name	string	SEL	0%	1	Uruguay
`population_total`	population_total	integer	SEL	0%	1	3499451
`population_male`	population_male	integer	SEL	0%	1	1694478
`population_female`	population_female	integer	SEL	0%	1	1804973

Extension Fields (1391) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	national
`census_reference_date`	census_reference_date	string	0%	1	2023-05-31
`age_sex__total`	age_sex__total	integer	0%	1	3499451
`age_sex__total_hombres`	age_sex__total_hombres	integer	0%	1	1694478
`age_sex__total_mujeres`	age_sex__total_mujeres	integer	0%	1	1804973
`age_sex__area_y_sexo_area_urbana_total`	age_sex__area_y_sexo_area_urbana_total	integer	0%	1	3324678
`age_sex__area_y_sexo_area_urbana_hombres`	age_sex__area_y_sexo_area_urbana_hombres	integer	0%	1	1595221
`age_sex__area_y_sexo_area_urbana_mujeres`	age_sex__area_y_sexo_area_urbana_mujeres	integer	0%	1	1729457
`age_sex__area_y_sexo_area_rural_total`	age_sex__area_y_sexo_area_rural_total	integer	0%	1	174773
`age_sex__area_y_sexo_area_rural_hombres`	age_sex__area_y_sexo_area_rural_hombres	integer	0%	1	99257
`age_sex__area_y_sexo_area_rural_mujeres`	age_sex__area_y_sexo_area_rural_mujeres	integer	0%	1	75516
`age_sex__age_band__0_04__total`	age_sex__age_band__0_04__total	integer	0%	1	177587
`age_sex__age_band__0_04__total_hombres`	age_sex__age_band__0_04__total_hombres	integer	0%	1	91175
`age_sex__age_band__0_04__total_mujeres`	age_sex__age_band__0_04__total_mujeres	integer	0%	1	86412
`age_sex__age_band__0_04__area_y_sexo_area_urbana_total`	age_sex__age_band__0_04__area_y_sexo_area_urbana_total	integer	0%	1	169679
`age_sex__age_band__0_04__area_y_sexo_area_urbana_hombres`	age_sex__age_band__0_04__area_y_sexo_area_urbana_hombres	integer	0%	1	87079
`age_sex__age_band__0_04__area_y_sexo_area_urbana_mujeres`	age_sex__age_band__0_04__area_y_sexo_area_urbana_mujeres	integer	0%	1	82600
`age_sex__age_band__0_04__area_y_sexo_area_rural_total`	age_sex__age_band__0_04__area_y_sexo_area_rural_total	integer	0%	1	7908
`age_sex__age_band__0_04__area_y_sexo_area_rural_hombres`	age_sex__age_band__0_04__area_y_sexo_area_rural_hombres	integer	0%	1	4096
`age_sex__age_band__0_04__area_y_sexo_area_rural_mujeres`	age_sex__age_band__0_04__area_y_sexo_area_rural_mujeres	integer	0%	1	3812
`age_sex__age_band__05_09__total`	age_sex__age_band__05_09__total	integer	0%	1	230969
`age_sex__age_band__05_09__total_hombres`	age_sex__age_band__05_09__total_hombres	integer	0%	1	118543
`age_sex__age_band__05_09__total_mujeres`	age_sex__age_band__05_09__total_mujeres	integer	0%	1	112426
`age_sex__age_band__05_09__area_y_sexo_area_urbana_total`	age_sex__age_band__05_09__area_y_sexo_area_urbana_total	integer	0%	1	221171
`age_sex__age_band__05_09__area_y_sexo_area_urbana_hombres`	age_sex__age_band__05_09__area_y_sexo_area_urbana_hombres	integer	0%	1	113491
`age_sex__age_band__05_09__area_y_sexo_area_urbana_mujeres`	age_sex__age_band__05_09__area_y_sexo_area_urbana_mujeres	integer	0%	1	107681
`age_sex__age_band__05_09__area_y_sexo_area_rural_total`	age_sex__age_band__05_09__area_y_sexo_area_rural_total	integer	0%	1	9798
`age_sex__age_band__05_09__area_y_sexo_area_rural_hombres`	age_sex__age_band__05_09__area_y_sexo_area_rural_hombres	integer	0%	1	5052
`age_sex__age_band__05_09__area_y_sexo_area_rural_mujeres`	age_sex__age_band__05_09__area_y_sexo_area_rural_mujeres	integer	0%	1	4745
`age_sex__age_band__10_14__total`	age_sex__age_band__10_14__total	integer	0%	1	237623
+1361 more extension fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

URY INE Censo2023 - URY Censo2023 Department — 19 rows, 77 columns

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Field details — 77 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_level`	admin_level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`department_code`	department_code	integer	SEL	0%	19	01, 02, 03, 04, 05
`name`	name	string	SEL	0%	19	MONTEVIDEO, ARTIGAS, CANELONES, CERRO LARGO, COLONIA
`population_total`	population_total	integer	SEL	0%	19	1302721, 77488, 608960, 91260, 135757
`urban_rural_sex__hombres`	urban_rural_sex__hombres	integer	SEL	0%	19	615186, 38085, 297666, 44702, 66655
`urban_rural_sex__mujeres`	urban_rural_sex__mujeres	integer	SEL	0%	19	687535, 39403, 311294, 46558, 69102

Extension Fields (71) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	department, department, department, department, department
`area_km2`	area_km2	integer	0%	19	530, 11928, 4536, 13648, 6106
`density_per_km2`	density_per_km2	float	0%	19	2457.96415096443, 6.4963112020939, 134.2504409210021,...
`source_row`	source_row	integer	0%	19	5, 6, 7, 8, 9
`name_accented`	name_accented	string	0%	19	Montevideo, Artigas, Canelones, Cerro Largo, Colonia
`urban_rural_sex__total`	urban_rural_sex__total	integer	0%	19	1302721, 77488, 608960, 91260, 135757
`urban_rural_sex__area_urbana_total`	urban_rural_sex__area_urbana_total	integer	0%	19	1281323, 74218, 566870, 85904, 124806
`urban_rural_sex__area_urbana_hombres`	urban_rural_sex__area_urbana_hombres	integer	0%	19	601670, 36165, 275386, 41623, 60685
`urban_rural_sex__area_urbana_mujeres`	urban_rural_sex__area_urbana_mujeres	integer	0%	19	679654, 38053, 291484, 44280, 64122
`urban_rural_sex__area_rural_total`	urban_rural_sex__area_rural_total	integer	0%	19	21398, 3270, 42090, 5356, 10951
`urban_rural_sex__area_rural_hombres`	urban_rural_sex__area_rural_hombres	integer	0%	19	13516, 1920, 22280, 3079, 5970
`urban_rural_sex__area_rural_mujeres`	urban_rural_sex__area_rural_mujeres	integer	0%	19	7881, 1350, 19810, 2278, 4980
`marital_status__total`	marital_status__total	integer	0%	19	1092112, 61367, 502444, 73988, 113204
`marital_status__no_relevado`	marital_status__no_relevado	integer	0%	19	24951, 544, 6700, 637, 1877
`marital_status__ignorado`	marital_status__ignorado	integer	0%	9	241, 0, 9, 0, 0
`marital_status__tiene_pareja_en_el_hogar_total`	marital_status__tiene_pareja_en_el_hogar_total	integer	0%	19	506698, 31791, 256822, 37174, 58694
`marital_status__tiene_pareja_en_el_hogar_casamiento_civil_con_pareja_de_otro_sexo`	marital_status__tiene_pareja_en_el_hogar_casamiento_civil_con_pareja_de_otro_sexo	integer	0%	19	268813, 16710, 130546, 17897, 29766
`marital_status__tiene_pareja_en_el_hogar_casamiento_civil_con_pareja_del_mismo_sexo`	marital_status__tiene_pareja_en_el_hogar_casamiento_civil_con_pareja_del_mismo_sexo	integer	0%	19	2233, 76, 977, 71, 188
`marital_status__tiene_pareja_en_el_hogar_union_libre_con_pareja_de_otro_sexo`	marital_status__tiene_pareja_en_el_hogar_union_libre_con_pareja_de_otro_sexo	integer	0%	19	228696, 14823, 122900, 18945, 28289
`marital_status__tiene_pareja_en_el_hogar_union_libre_con_pareja_del_mismo_sexo`	marital_status__tiene_pareja_en_el_hogar_union_libre_con_pareja_del_mismo_sexo	integer	0%	18	6453, 151, 2207, 229, 418
`marital_status__tiene_pareja_en_el_hogar_ignorado`	marital_status__tiene_pareja_en_el_hogar_ignorado	integer	0%	16	502, 31, 192, 33, 33
`marital_status__no_tiene_pareja_en_el_hogar_total`	marital_status__no_tiene_pareja_en_el_hogar_total	integer	0%	19	560222, 29033, 238914, 36176, 52632
`marital_status__no_tiene_pareja_en_el_hogar_divorciado_a_de_casamiento`	marital_status__no_tiene_pareja_en_el_hogar_divorciado_a_de_casamiento	integer	0%	19	76215, 2511, 30094, 4737, 6930
`marital_status__no_tiene_pareja_en_el_hogar_separado_de_casamiento`	marital_status__no_tiene_pareja_en_el_hogar_separado_de_casamiento	integer	0%	19	26908, 1383, 12551, 1815, 2725
`marital_status__no_tiene_pareja_en_el_hogar_separado_a_de_union_libre`	marital_status__no_tiene_pareja_en_el_hogar_separado_a_de_union_libre	integer	0%	19	57155, 2514, 26395, 3611, 5736
`marital_status__no_tiene_pareja_en_el_hogar_viudo_a_de_casamiento`	marital_status__no_tiene_pareja_en_el_hogar_viudo_a_de_casamiento	integer	0%	19	65531, 3451, 27460, 4608, 6843
`marital_status__no_tiene_pareja_en_el_hogar_viudo_a_de_union_libre`	marital_status__no_tiene_pareja_en_el_hogar_viudo_a_de_union_libre	integer	0%	19	6310, 434, 3092, 539, 644
`marital_status__no_tiene_pareja_en_el_hogar_nunca_convivio_en_pareja_soltero_a`	marital_status__no_tiene_pareja_en_el_hogar_nunca_convivio_en_pareja_soltero_a	integer	0%	19	319753, 17715, 134196, 19877, 28600
`marital_status__no_tiene_pareja_en_el_hogar_no_relevado`	marital_status__no_tiene_pareja_en_el_hogar_no_relevado	integer	0%	17	1074, 38, 494, 40, 73
`marital_status__no_tiene_pareja_en_el_hogar_ignorado`	marital_status__no_tiene_pareja_en_el_hogar_ignorado	integer	0%	19	7275, 987, 4632, 948, 1082
+41 more extension fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

URY INE Censo2023 - URY Censo2023 Municipality — 166 rows, 13 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_level`	admin_level	string	SEL	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`name`	name	string	SEL	0%	89	MUNICIPIO A, MUNICIPIO B, MUNICIPIO C, MUNICIPIO CH, MUNICIPIO D
`population_total`	population_total	integer	SEL	0%	98	206236, 149350, 141785, 157410, 173170

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	municipality, municipality, municipality, municipality,...
`department`	department	string	0%	10	Montevideo, Montevideo, Montevideo, Montevideo, Montevideo
`residual_kind`	residual_kind	string	87%	2	no_municipality_recorded, not_municipalised,...
`is_place`	is_place	boolean	0%	2	True, True, True, True, True
`source_row`	source_row	integer	0%	100	8, 9, 10, 11, 12
`department_iso_3166_2`	department_iso_3166_2	string	0%	10	UY-MO, UY-MO, UY-MO, UY-MO, UY-MO
`gns_ufi`	gns_ufi	integer	22%	78	15957286, 15957360, 15957335, 15957292, 15957405
`iso_3166_2`	iso_3166_2	string	22%	10	UY-MO, UY-MO, UY-MO, UY-MO, UY-MO
`gns_bgn_name`	gns_bgn_name	string	22%	77	A, B, C, CH, D
`gns_match`	gns_match	string	0%	4	accented, accented, accented, accented, accented

3 Admin 3 — 1 table(s)

URY INE Censo2023 - URY Censo2023 Locality — 1,266 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_level`	admin_level	string	SEL	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`locality_code`	locality_code	integer	SEL	0%	100	01020, 01621, 01622, 01721, 01900
`name`	name	string	SEL	0%	98	MONTEVIDEO, ABAYUBÁ, SANTIAGO VÁZQUEZ, PAJAS BLANCAS,...
`population_total`	population_total	integer	SEL	47%	52	1281323, 21398, 42891, 16479, 2843

Extension Fields (13) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	locality, locality, locality, locality, locality
`department`	department	string	47%	3	MONTEVIDEO, MONTEVIDEO, ARTIGAS, ARTIGAS, ARTIGAS
`department_code`	department_code	integer	0%	3	01, 01, 01, 01, 01
`published_in_cuadro_13`	published_in_cuadro_13	boolean	0%	2	True, False, False, False, True
`is_rural_pseudo_locality`	is_rural_pseudo_locality	boolean	0%	2	False, False, False, False, True
`area_km2`	area_km2	float	49%	51	242.7182, 16.75247, 8.781645, 2.1718316, 2.0346627
`density_per_km2`	density_per_km2	float	49%	51	5279.056980854629, 2560.258282276097, 1876.475047358142,...
`in_cuadro_11`	in_cuadro_11	boolean	0%	2	True, False, False, False, False
`source_row`	source_row	integer	47%	53	8, 9, 10, 11, 12
`gns_ufi`	gns_ufi	string	100%	-	-
`iso_3166_2`	iso_3166_2	string	100%	-	-
`gns_match`	gns_match	string	0%	1	no_gns_level, no_gns_level, no_gns_level, no_gns_level,...
`residual_kind`	residual_kind	string	100%	-	-

URY World Bank Open Data URY-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)

URY 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	UY, UY, UY, UY, UY
`population_count`	Population count	float	SEL	2%	65	2529957.0, 2562044.0, 2593298.0, 2623766.0, 2653180.0
`life_expectancy`	Life expectancy	float	SEL	3%	63	67.683, 67.81, 67.911, 68.023, 68.112
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	491.031760304596, 603.966513233705, 659.393716891716,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	68%	21	93.8600006103516, 95.379997253418, 96.7799987792969,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	63.3, 62.1, 60.6, 59.3, 58.3
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	94%	4	11.6, 9.9, 19.7, 17.3

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Uruguay, Uruguay, Uruguay, Uruguay, Uruguay
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

URY 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	UY, UY, UY, UY, UY
`life_expectancy`	Life expectancy	float	SEL	3%	63	67.683, 67.81, 67.911, 68.023, 68.112
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	18%	46	22.7, 23.9, 25.5, 26.6, 26.3
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	63.3, 62.1, 60.6, 59.3, 58.3
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	21	41.0, 41.0, 41.0, 39.0, 36.0
`fertility_rate`	Fertility rate	float	SEL	3%	62	2.827, 2.846, 2.866, 2.884, 2.863
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	21.797, 21.814, 21.826, 21.81, 21.48
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	62	9.766, 9.724, 9.702, 9.681, 9.668
`physicians_per_1000`	Physicians per 1000	float	SEL	73%	18	1.064, 1.136, 1.093, 1.111, 1.997
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	61%	21	5.5118203163147, 5.91270017623901, 5.00180006027222,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	18	53.0, 57.0, 67.0, 73.0, 62.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	9.17182446, 9.75702, 9.64023018, 9.57667351, 8.26618195

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

URY 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	URY, URY, URY, URY, URY
`country_name`	country_name	string	0%	1	Uruguay, Uruguay, Uruguay, Uruguay, Uruguay
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	98116.0, 93428.0, 88874.0, 82317.0, 76303.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	6	3.2, 2.9, 2.7, 2.5, 2.3
`net_migration`	net_migration	float	0%	64	2057.0, 703.0, -623.0, -1707.0, -2623.0
`remittances_received_usd`	remittances_received_usd	float	61%	26	4199999.809, 6038.03, 36053000.0, 61753293.0, 69896167.0
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	61%	26	0.0584861890135255, 2.88918074404212e-05,...
`remittances_paid_usd`	remittances_paid_usd	float	64%	24	1299999.952, 1421609.0, 1770000.0, 2176000.0, 2843000.0

URY UNHCR Refugee Data Finder URY-UNHCR Migration

101 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)

URY UNHCR - Hosted Populations — 52 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%	-	-

URY 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%	-	-

URY LandScan Global (ORNL) URY-LANDSCAN Modeled Population

28 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)

URY 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	URY
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Uruguay
`admin_code`	Admin code	string	SEL	0%	1	38943091B55852499818945
`area_sqkm`	Area sqkm	float	SEL	0%	1	176833.7916
`pop_2024`	Population count	integer	SEL	0%	1	3402029
`pop_density_2024`	Population density	float	SEL	0%	1	19.24

1 Admin 1 — 1 table(s)

URY LandScan - Population Admin1 (admin_1) — 19 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	URY, URY, URY, URY, URY
`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%	19	Montevideo, Canelones, Maldonado, Salto, Colonia
`admin_code`	Admin code	string	SEL	0%	19	27058087B97113143242340, 27058087B19329078127106,...
`area_sqkm`	Area sqkm	float	SEL	0%	19	528.5791, 4524.3804, 4804.1806, 14182.3809, 6117.0115
`pop_2024`	Population count	integer	SEL	0%	19	1316024, 597876, 190265, 129595, 124738
`pop_density_2024`	Population density	float	SEL	0%	19	2489.74, 132.15, 39.6, 9.14, 20.39

Locality Locality — 1 table(s)

URY LandScan - Cities (locality) — 8 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	URY, URY, URY, URY, URY
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	8	Montevideo, Las Piedras, Salto, Ciudad de la Costa, Maldonado
`admin_code`	Admin code	integer	SEL	0%	8	804, 670, 36, 931, 1051
`area_sqkm`	Area sqkm	float	SEL	0%	8	236.447, 27.9379, 21.932, 47.888, 35.9157
`pop_2024`	Population count	integer	SEL	0%	8	1292415, 117730, 91683, 81368, 79865
`pop_density_2024`	Population density	float	SEL	0%	8	5465.98, 4213.99, 4180.33, 1699.13, 2223.68

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%	8	1219222, 106086, 96048, 99151, 124858
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	8	1.06, 1.11, 0.955, 0.821, 0.64

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

20 rows · 2 tables · 2023 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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

0 Admin 0 — 1 table(s)

URY COD PS - URY Codps (admin_0) — 1 rows, 65 columns

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Field details — 65 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	UY
`region_name`	Region name	string	SEL	0%	1	Uruguay
`F_TL`	Female population	integer	SEL	0%	1	1835590
`M_TL`	Male population	integer	SEL	0%	1	1730941
`T_TL`	Total population	integer	SEL	0%	1	3566539

Pending (60) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2023
`year`	year	integer	0%	1	2023
`F_00_04`	Female population age 0-4	integer	0%	1	109353
`F_05_09`	Female population age 5-9	integer	0%	1	111362
`F_10_14`	Female population age 10-14	integer	0%	1	113779
`F_15_19`	Female population age 15-19	integer	0%	1	118513
`F_20_24`	Female population age 20-24	integer	0%	1	126940
`F_25_29`	Female population age 25-29	integer	0%	1	133528
`F_30_34`	Female population age 30-34	integer	0%	1	126151
`F_35_39`	Female population age 35-39	integer	0%	1	120751
`F_40_44`	Female population age 40-44	integer	0%	1	119927
`F_45_49`	Female population age 45-49	integer	0%	1	120000
`F_50_54`	Female population age 50-54	integer	0%	1	109359
`F_55_59`	Female population age 55-59	integer	0%	1	103061
`F_60_64`	Female population age 60-64	integer	0%	1	101323
`F_65_69`	Female population age 65-69	integer	0%	1	90463
`F_70_74`	Female population age 70-74	integer	0%	1	74063
`F_75_79`	Female population age 75-79	integer	0%	1	60590
`F_80_84`	Female population age 80-84	integer	0%	1	45340
`F_85_89`	Female population age 85-89	integer	0%	1	30003
`F_90Plus`	F_90Plus	integer	0%	1	20911
`M_00_04`	Male population age 0-4	integer	0%	1	114656
`M_05_09`	Male population age 5-9	integer	0%	1	116722
`M_10_14`	Male population age 10-14	integer	0%	1	119036
`M_15_19`	Male population age 15-19	integer	0%	1	123774
`M_20_24`	Male population age 20-24	integer	0%	1	131938
`M_25_29`	Male population age 25-29	integer	0%	1	136950
`M_30_34`	Male population age 30-34	integer	0%	1	127608
`M_35_39`	Male population age 35-39	integer	0%	1	121053
+30 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

URY COD PS - URY Codps (admin_1) — 19 rows, 65 columns

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Field details — 65 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	19	UY01, UY02, UY03, UY04, UY05
`region_name`	Region name	string	SEL	0%	19	Artigas, Canelones, Cerro Largo, Colonia, Durazno
`F_TL`	Female population	integer	SEL	0%	19	37030, 318429, 45781, 67173, 29818
`M_TL`	Male population	integer	SEL	0%	19	36269, 307268, 43881, 65343, 29126
`T_TL`	Total population	integer	SEL	0%	19	73299, 625697, 89662, 132517, 58944

Pending (60) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	19	2367, 19216, 2799, 3855, 1876
`F_05_09`	Female population age 5-9	integer	0%	19	2517, 19453, 2925, 4099, 1981
`F_10_14`	Female population age 10-14	integer	0%	19	2633, 19991, 3074, 4371, 2017
`F_15_19`	Female population age 15-19	integer	0%	19	2399, 21325, 3142, 4094, 1974
`F_20_24`	Female population age 20-24	integer	0%	19	2569, 22205, 3077, 3891, 1978
`F_25_29`	Female population age 25-29	integer	0%	19	2808, 23204, 3323, 4452, 2217
`F_30_34`	Female population age 30-34	integer	0%	19	2403, 22454, 2954, 4399, 1985
`F_35_39`	Female population age 35-39	integer	0%	19	2272, 21498, 2716, 4374, 1884
`F_40_44`	Female population age 40-44	integer	0%	19	2230, 21190, 2926, 4459, 1943
`F_45_49`	Female population age 45-49	integer	0%	19	2198, 21701, 3053, 4320, 1939
`F_50_54`	Female population age 50-54	integer	0%	19	2223, 19454, 2779, 4166, 1752
`F_55_59`	Female population age 55-59	integer	0%	19	2284, 18082, 2577, 3985, 1701
`F_60_64`	Female population age 60-64	integer	0%	19	2101, 17267, 2533, 3892, 1608
`F_65_69`	Female population age 65-69	integer	0%	19	1812, 15166, 2257, 3519, 1411
`F_70_74`	Female population age 70-74	integer	0%	19	1451, 12058, 1949, 2981, 1170
`F_75_79`	Female population age 75-79	integer	0%	19	1130, 9657, 1554, 2438, 957
`F_80_84`	Female population age 80-84	integer	0%	19	787, 7091, 1087, 1835, 715
`F_85_89`	Female population age 85-89	integer	0%	18	510, 4491, 658, 1226, 441
`F_90Plus`	F_90Plus	integer	0%	19	327, 2917, 390, 809, 258
`M_00_04`	Male population age 0-4	integer	0%	19	2492, 20217, 2958, 4013, 1929
`M_05_09`	Male population age 5-9	integer	0%	19	2661, 20503, 3117, 4255, 2022
`M_10_14`	Male population age 10-14	integer	0%	18	2804, 20877, 3308, 4464, 2078
`M_15_19`	Male population age 15-19	integer	0%	19	2706, 22465, 3275, 4396, 2101
`M_20_24`	Male population age 20-24	integer	0%	19	2679, 23207, 3303, 4297, 2215
`M_25_29`	Male population age 25-29	integer	0%	19	2800, 23825, 3384, 4635, 2272
`M_30_34`	Male population age 30-34	integer	0%	19	2429, 22893, 2893, 4488, 1988
`M_35_39`	Male population age 35-39	integer	0%	19	2269, 21586, 2641, 4517, 1902
+30 more pending fields — download the CSV/Parquet to see them all.

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

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

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1 Admin 1 — 1 table(s)

URY Mobility by Region — 19 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	UY, UY, UY, UY, UY
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	URY, URY, URY, URY, URY

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	19	5.27, -22.26, -11.67, -21.22, -2.58
`grocery`	grocery	float	0%	19	22.99, -2.77, 12.01, -10.79, 14.49
`parks`	parks	float	0%	19	-33.23, -41.02, -14.31, -44.06, -10.26
`transit`	transit	float	0%	19	-7.17, -29.84, -10.32, -45.72, -7.45
`workplaces`	workplaces	float	0%	19	8.35, -0.68, 5.73, -0.86, 10.43
`residential`	residential	float	0%	18	1.17, 5.54, 3.31, 5.11, 1.17
`region`	region	string	0%	19	Artigas Department, Canelones Department, Cerro Largo...
`observation_count`	observation_count	integer	0%	8	950, 974, 967, 974, 949

URY OpenFactBook URY-OPENFACTBOOK Country Profile

14 rows · 14 tables · 2024 OpenFactBook 0 1 2 3 91 SEL 2 CCL 617 ext ▶

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0 Admin 0 — 14 table(s)

URY 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	36.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	146.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	90.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	32.0
`country_code`	Country code	string	SEL	0%	1	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`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	1.205 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	1.205
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	36 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	4.93 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	4.93
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	146 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	mix of privately owned and state-run broadcast media;...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	100.0
`internet_country_code_text`	Internet country code text	string	0%	1	.uy
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	90% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	1.1 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	1.1
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	32 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-america/uy.json

URY OpenFactBook - Economy — 1 rows, 150 columns

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Field details — 156 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	32000.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	80.962
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	10.1
`country_code`	Country code	string	SEL	0%	1	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (150) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	high-income, export-oriented South American economy;...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	2019.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$108.502 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	108.502
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$105.231 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	105.231
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$104.456 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	104.456
`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	3.1% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.1
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	0.7% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	0.7
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4.5% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.5
`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	$32,000 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$31,100 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	31100.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$30,800 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	30800.0
`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	$80.962 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	4.8% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	4.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	5.9% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	5.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	9.1% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	9.1
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+120 more extension fields — download the CSV/Parquet to see them all.

URY OpenFactBook - Energy — 1 rows, 41 columns

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Field details — 41 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`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
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	5.682 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	5.682
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	9.826 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	9.826
`electricity_exports_text`	electricity_exports_text	string	0%	1	2 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	2.0
`electricity_imports_text`	electricity_imports_text	string	0%	1	84 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	84.0
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	1.136 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	1.136
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	8% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	8.0
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	3.8% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	3.8
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	37% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	37.0
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	27.3% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	27.3
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	23.9% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	23.9
`coal_consumption_text`	coal_consumption_text	string	0%	1	8,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	8000.0
`coal_imports_text`	coal_imports_text	string	0%	1	13,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	13000.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	400 bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	400.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	50,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	50000.0
`natural_gas_consumption_text`	natural_gas_consumption_text	string	0%	1	90.018 million cubic meters (2023 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

URY 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	81.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	11.4
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	95.8
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.4
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.26
`country_code`	Country code	string	SEL	0%	1	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`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 from meat-packing, tannery industries;...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Environmental Protection, Antarctic-Marine...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Marine Dumping-London Convention, Marine Life Conservation
`climate_text`	climate_text	string	0%	1	warm temperate; freezing temperatures almost unknown
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	81.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 12.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	12.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.2
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 68.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	68.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	11.4% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	7.3% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	7.3
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	95.8% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.4% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	6.896 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	6.896
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	39,000 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	39000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	6.681 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	6.681
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	177,000 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	177000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	8.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	8.5
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	18.1 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	18.1
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	730.6 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	730.6
+21 more extension fields — download the CSV/Parquet to see them all.

URY 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	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`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	Uruguayan(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Uruguayan
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	White 87.7%, Black 4.6%, Indigenous 2.4%, other 0.3%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	87.7
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-america/uy.json

URY OpenFactBook - Geography — 1 rows, 58 columns

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Field details — 62 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	176215.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	175015.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	1200.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	1591.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	660.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	514.0
`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	81.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	11.4
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	2230.0
`country_code`	Country code	string	SEL	0%	1	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern South America, bordering the South Atlantic...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	33 00 S, 56 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	33.0
`map_references_text`	map_references_text	string	0%	1	South America
`area_total_text`	area_total_text	string	0%	1	176,215 sq km
`area_land_text`	area_land_text	string	0%	1	175,015 sq km
`area_water_text`	area_water_text	string	0%	1	1,200 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	about the size of Virginia and West Virginia combined;...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	1,591 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Argentina 541 km; Brazil 1,050 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	541.0
`coastline_text`	coastline_text	string	0%	1	660 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_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200 nm or the edge of continental margin
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	warm temperate; freezing temperatures almost unknown
`terrain_text`	terrain_text	string	0%	1	mostly rolling plains and low hills; fertile coastal lowland
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Cerro Catedral 514 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	109 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	109.0
`natural_resources_text`	natural_resources_text	string	0%	1	arable land, hydropower, minor minerals, fish
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	81.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 12.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	12.6
+19 more extension fields — download the CSV/Parquet to see them all.

URY OpenFactBook - Government — 1 rows, 92 columns

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Field details — 124 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	URY
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Oriental Republic of Uruguay
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Uruguay
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República Oriental del Uruguay
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Uruguay
`country_name_former_text`	country_name_former_text	string	0%	1	Banda Oriental, Cisplatine Province
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name derives from the Uruguay River, which makes up the...
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Montevideo
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	34 51 S, 56 10 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	34.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-3 (2 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 origin of the name is disputed but refers to a hill...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	19 departments (departamentos, singular - departamento);...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	19.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the Spanish civil code
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest approved by plebiscite 27...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	27.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	initiated by public petition of at least 10% of...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	10.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	yes
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	yes
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	3-5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	3.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal and compulsory
`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 Yamandú ORSI Martínez (since 1 March 2025)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	1.0
+92 more extension fields — download the CSV/Parquet to see them all.

URY 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	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	The Spanish founded the city of Montevideo in modern-day...
`background_numeric`	background_numeric	float	0%	1	1726.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-america/uy.json

URY 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	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`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	Spanish (official, Rioplatense is the most widely spoken dialect)
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-america/uy.json

URY OpenFactBook - Migration — 1 rows, 11 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	32,149 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	32149.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	33 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	33.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	5 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	5.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	south-america/uy.json

URY OpenFactBook - Military And Security — 1 rows, 21 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	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`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	Armed Forces of Uruguay (Fuerzas Armadas del Uruguay or...
`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% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	2% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	2.3% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	2.3
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	2% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	2.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 23,000 active-duty Armed Forces (15,000...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	23000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory includes a variety of mostly...
`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 18-30 years of age (up to 22 for the Navy and...
`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	630 Democratic Republic of the Congo (MONUSCO); 210...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	630.0
`military_note_text`	military_note_text	string	0%	1	the armed forces are responsible for defense of the...
`military_note_numeric`	military_note_numeric	float	0%	1	2018.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-america/uy.json

URY OpenFactBook - People And Society — 1 rows, 132 columns

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Field details — 145 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	3449444.0
`population_male_numeric`	Population male	float	SEL	0%	1	1678419.0
`population_female_numeric`	Population female	float	SEL	0%	1	1771025.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	18.9
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	65.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	15.7
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	48.7
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	26.2
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	22.5
`median_age_total_numeric`	Median age	float	SEL	0%	1	37.4
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.06
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	9.05
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	9.88
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	0.19
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	95.8
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.4
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.04
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.94
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	15.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	6.9
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	78.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.27
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.62
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	4.67
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	2.5
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	98.9
`country_code`	Country code	string	SEL	0%	1	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`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	3,449,444 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	1,678,419
`population_female_text`	population_female_text	string	0%	1	1,771,025
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	18.9% (male 329,268/female 317,925)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	65.4% (male 1,112,622/female 1,128,418)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	15.7% (2024 est.) (male 218,242/female 318,855)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	48.7 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	26.2 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	22.5 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	4.4 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	4.4
`median_age_total_text`	median_age_total_text	string	0%	1	37.4 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	34.9 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	34.9
`median_age_female_text`	median_age_female_text	string	0%	1	38.2 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	38.2
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.06% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	9.05 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	9.88 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	0.19 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	most of the country's population resides in the southern...
`population_distribution_numeric`	population_distribution_numeric	float	0%	1	80.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	95.8% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.4% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	1.774 million MONTEVIDEO (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	1.774
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.99 male(s)/female
+86 more extension fields — download the CSV/Parquet to see them all.

URY OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 29 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	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.0
`composition_ethnicity_primary_label_synth`	White	string	CCL	0%	-	White

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

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Roman Catholic 36.5%, Protestant 5% (Evangelical...
`religions_numeric`	religions_numeric	float	0%	1	36.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-america/uy.json

Pending (20) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	36.5
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	5.0
`composition_religion_protestant__evangelical_non_specific_pct_synth`	Evangelical (non-specific)	numeric	0%	-	4.6
`composition_religion_protestant__adventist_pct_synth`	Adventist	numeric	0%	-	0.2
`composition_religion_protestant__protestant_non_specific_pct_synth`	Protestant (non-specific)	numeric	0%	-	0.3
`composition_religion_african_american_cults_umbanda_pct_synth`	African American Cults/Umbanda	numeric	0%	-	2.8
`composition_religion_jehovah_s_witness_pct_synth`	Jehovah's Witness	numeric	0%	-	0.6
`composition_religion_church_of_jesus_christ_pct_synth`	Church of Jesus Christ	numeric	0%	-	0.2
`composition_religion_believer_not_belonging_to_the_church_pct_synth`	Believer (not belonging to the church)	numeric	0%	-	1.8
`composition_religion_agnostic_pct_synth`	agnostic	numeric	0%	-	0.3
`composition_religion_atheist_pct_synth`	atheist	numeric	0%	-	1.3
`composition_religion_none_pct_synth`	none	numeric	0%	-	47.3
`composition_religion_unspecified_roman_catholic_42_pct_synth`	unspecified Roman Catholic 42%	numeric	0%	-	3.4
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	24.0
`composition_ethnicity_white_pct_synth`	White	numeric	0%	-	87.7
`composition_ethnicity_black_pct_synth`	Black	numeric	0%	-	4.6
`composition_ethnicity_indigenous_pct_synth`	Indigenous	numeric	0%	-	2.4
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	0.3
`composition_ethnicity_none_or_unspecified_pct_synth`	none or unspecified	numeric	0%	-	5.0
`composition_ethnicity_primary_share_pct_synth`	White	numeric	0%	-	87.7

URY OpenFactBook - Transportation — 1 rows, 28 columns

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Field details — 31 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	65.0
`country_code`	Country code	string	SEL	0%	1	URY
`country_name`	Country name	string	SEL	0%	1	Uruguay
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — 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	CX
`airports_text`	airports_text	string	0%	1	65 (2025)
`heliports_text`	heliports_text	string	0%	1	4 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	4.0
`railways_total_text`	railways_total_text	string	0%	1	1,673 km (2016) (operational; government claims overall...
`railways_total_numeric`	railways_total_numeric	float	0%	1	1673.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	1,673 km (2016) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	1673.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	58 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	58.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	container ship 1, general cargo 4, oil tanker 3, other 50
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`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	1
`ports_small_numeric`	ports_small_numeric	float	0%	1	1.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	6
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	6.0
`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	Colonia, Fray Bentos, Jose Ignacio, La Paloma,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-america/uy.json

URY Glottolog Language Catalog URY-GLOTTOLOG Language

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

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

0 Admin 0 — 1 table(s)

URY Glottolog - Languages — 9 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%	9	chan1296, char1240, east2295, guen1235, mbya1239
`name`	Name	string	CCL	0%	9	Chaná, Charrúa, Eastern Yiddish, Güenoa, Mbyá Guaraní
`iso639_3`	Iso639 3	string	CCL	44%	5	ydd, gun, por, spa, ugy
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	5	char1238, char1238, indo1319, char1238, tupi1275
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	7	char1238, char1238, schl1237, char1238, tupi1282
`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%	5	0, 0, 12, 0, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	11%	8	-33.69, -34.9, 51.75, -33.810189, -26.0188
`longitude`	longitude	float	11%	8	-57.78, -56.16, 19.42, -54.473877, -52.711
`country_codes`	Country codes	string	0%	5	['UY'], ['UY'], ['AR', 'AU', 'BE', 'BY', 'CA', 'CR',...
`classification`	classification	string	0%	1	[], [], [], [], []

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

8 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)

URY GHS-UCDB - Cities (locality) — 8 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%	8	Montevideo, Maldonado, Las Piedras, Ciudad de la Costa, Salto
`country_code`	Country code	string	SEL	0%	1	URY, URY, URY, URY, URY
`population`	Population count	integer	SEL	0%	8	1219222, 124858, 106086, 99151, 96048

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	8	804, 1051, 670, 931, 36
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Uruguay, Uruguay, Uruguay, Uruguay, Uruguay
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

4 rows · 2 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 18 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)

URY NGA GNS - Language — 3 rows, 9 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	URY, URY, URY
`gns_language_code`	gns_language_code	string	CCL	0%	3	spa, eng, por
`gns_language_name`	gns_language_name	string	CCL	0%	3	Spanish, English, Portuguese
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	4781, 154, 16
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	96.5664, 3.1105, 0.3232
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0

URY 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	URY
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Uruguay
`gns_language_count`	gns_language_count	integer	CCL	0%	1	3
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9686
`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	12726
`gns_feature_count`	gns_feature_count	integer	0%	1	7376
`gns_endonym_count`	gns_endonym_count	integer	0%	1	12722
`gns_exonym_count`	gns_exonym_count	integer	0%	1	4
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	6537
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	2997
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	2657
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	1906
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	1505
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	1043
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1261
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	862
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	315
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	145
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	451
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	423

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

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

1 rows × 254 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

URY Inform - Risk Index — 1 rows, 254 columns

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Field details — 254 fields (type, nulls, unique, samples)

Pending (254) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	URY
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	13831.8571428571
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0857142857142857
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.404032218422012
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	175020.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.075
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.00915754815636596
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	1.5
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	0.175730049610138
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	3.1
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	1.2
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	0.2
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	0.0
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	0.7
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	0.8
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	0.7
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	0.5
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.2
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	0.0
`inform_cc_inf_com`	Communication	float	0%	1	1.0
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	2.8
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	0.2
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	0.8
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	2.3
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.1
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	6.8
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	0.1
`inform_institutional_capacity`	Institutional	float	0%	1	4.7
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	6.3
+224 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

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Language	Place names	Share*	Script
Spanish (spa)	4,781	96.6%	—
English (eng)	154	3.1%	—
Portuguese (por)	16	0.3%	—

Source	Type	Access
INE Uruguay (Instituto Nacional de Estadistica)	official_nso	bulk_download
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Google	commercial	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
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