Paraguay

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

269 rows · 3 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

PRY Cod Ps - Pry 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	PY
`region_name`	Region name	string	SEL	0%	1	Paraguay
`F_TL`	Female population	integer	SEL	0%	1	3751918
`M_TL`	Male population	integer	SEL	0%	1	3798623
`T_TL`	Total population	integer	SEL	0%	1	7552654

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2023
`year`	year	integer	0%	1	2023
`F_00_04`	Female population age 0-4	integer	0%	1	346850
`F_05_09`	Female population age 5-9	integer	0%	1	344854
`F_10_14`	Female population age 10-14	integer	0%	1	342156
`F_15_19`	Female population age 15-19	integer	0%	1	334830
`F_20_24`	Female population age 20-24	integer	0%	1	324811
`F_25_29`	Female population age 25-29	integer	0%	1	314641
`F_30_34`	Female population age 30-34	integer	0%	1	299821
`F_35_39`	Female population age 35-39	integer	0%	1	275637
`F_40_44`	Female population age 40-44	integer	0%	1	235326
`F_45_49`	Female population age 45-49	integer	0%	1	195970
`F_50_54`	Female population age 50-54	integer	0%	1	173235
`F_55_59`	Female population age 55-59	integer	0%	1	149852
`F_60_64`	Female population age 60-64	integer	0%	1	125570
`F_65_69`	Female population age 65-69	integer	0%	1	101409
`F_70_74`	Female population age 70-74	integer	0%	1	74134
`F_75_79`	Female population age 75-79	integer	0%	1	49469
`F_80Plus`	F_80Plus	integer	0%	1	63353
`M_00_04`	Male population age 0-4	integer	0%	1	361411
`M_05_09`	Male population age 5-9	integer	0%	1	358523
`M_10_14`	Male population age 10-14	integer	0%	1	354907
`M_15_19`	Male population age 15-19	integer	0%	1	346732
`M_20_24`	Male population age 20-24	integer	0%	1	335520
`M_25_29`	Male population age 25-29	integer	0%	1	323831
`M_30_34`	Male population age 30-34	integer	0%	1	306932
`M_35_39`	Male population age 35-39	integer	0%	1	280266
`M_40_44`	Male population age 40-44	integer	0%	1	234559
`M_45_49`	Male population age 45-49	integer	0%	1	192577
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

PRY Cod Ps - Pry Codps (admin_1) — 18 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%	18	PY17, PY10, PY13, PY00, PY16
`region_name`	Region name	string	SEL	0%	18	Alto Paraguay, Alto Paraná, Amambay, Asunción, Boquerón
`F_TL`	Female population	integer	SEL	0%	18	9021, 427292, 90007, 274224, 34242
`M_TL`	Male population	integer	SEL	0%	18	10210, 437264, 89682, 246849, 36213
`T_TL`	Total population	integer	SEL	0%	18	19263, 864721, 179729, 521082, 70478

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	18	1021, 40720, 8784, 17967, 3604
`F_05_09`	Female population age 5-9	integer	0%	18	955, 40450, 8695, 19300, 3462
`F_10_14`	Female population age 10-14	integer	0%	18	919, 40375, 8605, 21352, 3281
`F_15_19`	Female population age 15-19	integer	0%	18	909, 39828, 8389, 22552, 3047
`F_20_24`	Female population age 20-24	integer	0%	18	907, 38690, 8001, 21627, 2789
`F_25_29`	Female population age 25-29	integer	0%	18	816, 35461, 7571, 18130, 2664
`F_30_34`	Female population age 30-34	integer	0%	18	654, 33515, 7151, 17370, 2556
`F_35_39`	Female population age 35-39	integer	0%	18	546, 32378, 6548, 19057, 2395
`F_40_44`	Female population age 40-44	integer	0%	18	448, 28611, 5450, 22177, 2167
`F_45_49`	Female population age 45-49	integer	0%	18	384, 24239, 4420, 20178, 1927
`F_50_54`	Female population age 50-54	integer	0%	18	347, 20947, 3892, 15015, 1671
`F_55_59`	Female population age 55-59	integer	0%	18	304, 16739, 3367, 12763, 1338
`F_60_64`	Female population age 60-64	integer	0%	18	263, 12789, 2845, 12264, 1071
`F_65_69`	Female population age 65-69	integer	0%	18	208, 9458, 2288, 10872, 819
`F_70_74`	Female population age 70-74	integer	0%	18	141, 6232, 1600, 8678, 580
`F_75_79`	Female population age 75-79	integer	0%	18	93, 3599, 1051, 6269, 400
`F_80Plus`	F_80Plus	integer	0%	18	106, 3261, 1350, 8653, 471
`M_00_04`	Male population age 0-4	integer	0%	18	1054, 42409, 9148, 18732, 3743
`M_05_09`	Male population age 5-9	integer	0%	18	986, 42117, 9018, 20038, 3589
`M_10_14`	Male population age 10-14	integer	0%	18	973, 42182, 8872, 21925, 3396
`M_15_19`	Male population age 15-19	integer	0%	18	921, 42319, 8563, 22812, 3156
`M_20_24`	Male population age 20-24	integer	0%	18	897, 41313, 7970, 21555, 2933
`M_25_29`	Male population age 25-29	integer	0%	18	935, 37727, 7547, 18433, 2829
`M_30_34`	Male population age 30-34	integer	0%	18	807, 34401, 7154, 17254, 2776
`M_35_39`	Male population age 35-39	integer	0%	18	685, 30964, 6470, 17273, 2711
`M_40_44`	Male population age 40-44	integer	0%	18	534, 25939, 5345, 18029, 2415
`M_45_49`	Male population age 45-49	integer	0%	18	423, 22161, 4429, 15966, 2030
+24 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

PRY Cod Ps - Pry Codps (admin_2) — 250 rows, 59 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	PY1704, PY1705, PY1701, PY1702, PY1001
`region_name`	Region name	string	SEL	0%	100	Bahia Negra, Carmelo Peralta, Fuerte Olimpo, Puerto...
`F_TL`	Female population	integer	SEL	0%	100	1092, 2291, 2234, 3404, 153957
`M_TL`	Male population	integer	SEL	0%	100	1431, 2412, 2507, 3860, 157241
`T_TL`	Total population	integer	SEL	0%	100	2528, 4713, 4752, 7270, 311206

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	97	124, 259, 253, 385, 14670
`F_05_09`	Female population age 5-9	integer	0%	93	116, 242, 237, 360, 14572
`F_10_14`	Female population age 10-14	integer	0%	96	111, 233, 228, 347, 14545
`F_15_19`	Female population age 15-19	integer	0%	95	110, 231, 225, 343, 14348
`F_20_24`	Female population age 20-24	integer	0%	98	110, 230, 225, 342, 13938
`F_25_29`	Female population age 25-29	integer	0%	97	99, 207, 202, 308, 12776
`F_30_34`	Female population age 30-34	integer	0%	95	79, 166, 162, 247, 12075
`F_35_39`	Female population age 35-39	integer	0%	96	66, 139, 135, 206, 11666
`F_40_44`	Female population age 40-44	integer	0%	96	54, 114, 111, 169, 10308
`F_45_49`	Female population age 45-49	integer	0%	94	46, 98, 95, 145, 8733
`F_50_54`	Female population age 50-54	integer	0%	95	42, 88, 86, 131, 7549
`F_55_59`	Female population age 55-59	integer	0%	95	37, 77, 75, 115, 6032
`F_60_64`	Female population age 60-64	integer	0%	91	32, 67, 65, 99, 4609
`F_65_69`	Female population age 65-69	integer	0%	91	25, 53, 51, 79, 3410
`F_70_74`	Female population age 70-74	integer	0%	88	17, 36, 35, 53, 2248
`F_75_79`	Female population age 75-79	integer	0%	85	11, 24, 23, 35, 1300
`F_80Plus`	F_80Plus	integer	0%	87	13, 27, 26, 40, 1178
`M_00_04`	Male population age 0-4	integer	0%	100	148, 249, 259, 398, 15248
`M_05_09`	Male population age 5-9	integer	0%	98	138, 233, 242, 373, 15144
`M_10_14`	Male population age 10-14	integer	0%	98	136, 230, 239, 368, 15166
`M_15_19`	Male population age 15-19	integer	0%	98	129, 218, 226, 348, 15216
`M_20_24`	Male population age 20-24	integer	0%	98	126, 212, 220, 339, 14854
`M_25_29`	Male population age 25-29	integer	0%	96	131, 221, 230, 353, 13565
`M_30_34`	Male population age 30-34	integer	0%	99	113, 191, 198, 305, 12370
`M_35_39`	Male population age 35-39	integer	0%	98	96, 162, 168, 259, 11134
`M_40_44`	Male population age 40-44	integer	0%	99	75, 126, 131, 202, 9327
`M_45_49`	Male population age 45-49	integer	0%	97	59, 100, 104, 160, 7969
+24 more pending fields — download the CSV/Parquet to see them all.

PRY Global Data Lab PRY-GDL Development Indices

204 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

PRY GDL - Subnational Indices — 204 rows, 11 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRY, PRY, PRY, PRY, PRY
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	6	Total, Central (Asuncion, Central), North-East...
`human_development_index`	Human development index	float	SEL	0%	80	0.635, 0.684, 0.609, 0.592, 0.607
`health_index`	Health index	float	SEL	0%	67	0.728, 0.744, 0.716, 0.714, 0.735
`education_index`	Education index	float	SEL	0%	87	0.509, 0.565, 0.477, 0.463, 0.467
`income_index`	Income index	float	SEL	0%	66	0.69, 0.762, 0.661, 0.628, 0.652
`life_expectancy`	Life expectancy	float	SEL	0%	95	67.34, 68.34, 66.56, 66.43, 67.77
`mean_years_schooling`	Mean years schooling	float	SEL	0%	97	7.63, 9.563, 6.54, 6.158, 6.45

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	17	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

PRY UNHCR Refugee Data Finder PRY-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

PRY UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

PRY UNHCR - Origin Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

PRY World Bank Open Data PRY-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

PRY 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	PY, PY, PY, PY, PY
`population_count`	Population count	float	SEL	2%	65	1883514.0, 1927394.0, 1973130.0, 2021909.0, 2073119.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	60.197, 60.517, 60.816, 61.101, 61.368
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	153.375216758109, 167.092827495951, 182.805194132375,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	77%	15	78.4599990844727, 90.2699966430664, 94.5599975585938,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	81.8, 81.1, 80.6, 80.2, 79.9
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	62%	25	36.1, 37.3, 36.8, 57.7, 51.4

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

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

PRY 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	PY, PY, PY, PY, PY
`life_expectancy`	Life expectancy	float	SEL	3%	64	60.197, 60.517, 60.816, 61.101, 61.368
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	14%	57	31.1, 31.0, 30.9, 30.6, 30.4
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	81.8, 81.1, 80.6, 80.2, 79.9
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	32	237.0, 230.0, 225.0, 220.0, 209.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.5, 6.489, 6.472, 6.447, 6.421
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	42.421, 42.312, 42.187, 42.068, 41.691
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	10.561, 10.385, 10.218, 10.048, 10.009
`physicians_per_1000`	Physicians per 1000	float	SEL	68%	21	0.534, 0.533, 0.435, 0.439, 0.563
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	53%	23	2.38925075531006, 1.62940001487732, 1.68299996852875,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	31	17.0, 28.0, 34.0, 45.0, 67.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	6.01865244, 5.60815811, 4.75770569, 4.90703917, 4.93224335

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

PRY Glottolog Language Catalog PRY-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

PRY Glottolog - Languages — 33 rows, 16 columns

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	33	ache1246, anga1316, ayor1240, cham1315, chir1286
`name`	Name	string	CCL	0%	33	Aché, Angaité, Ayoreo, Chamacoco, Chiripá
`iso639_3`	Iso639 3	string	CCL	9%	30	guq, aqt, ayo, ceg, nhd
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	3%	9	tupi1275, leng1261, zamu1243, zamu1243, tupi1275
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	3%	18	tupi1277, east2852, zamu1244, zamu1243, para1319
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	10	['PY'], ['PY'], ['BO', 'PY'], ['BO', 'BR', 'PY'], ['AR',...
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	6	0, 0, 1, 2, 1

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	33	-25.5865, -22.85, -19.220055, -20.5899, -25.6521
`longitude`	longitude	float	0%	33	-56.4697, -58.45, -60.217495, -58.2005, -55.051
`classification`	classification	string	0%	1	[], [], [], [], []

PRY LandScan Global (ORNL) PRY-LANDSCAN Modeled Population

28 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

PRY 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	PRY
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Paraguay
`admin_code`	Admin code	string	SEL	0%	1	89047665B96161090665764
`area_sqkm`	Area sqkm	float	SEL	0%	1	399671.1594
`pop_2024`	Population count	integer	SEL	0%	1	7525166
`pop_density_2024`	Population density	float	SEL	0%	1	18.83

1 Admin 1 — 1 table(s)

PRY LandScan - Population Admin1 (admin_1) — 18 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	PRY, PRY, PRY, PRY, PRY
`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%	18	CENTRAL, ALTO PARANA, ITAPUA, CAAGUAZU, ASUNCION
`admin_code`	Admin code	string	SEL	0%	18	63826900B88193761383216, 63826900B70318852287741,...
`area_sqkm`	Area sqkm	float	SEL	0%	18	2412.3987, 14207.458, 15866.9866, 12904.7522, 128.6966
`pop_2024`	Population count	integer	SEL	0%	18	2303676, 861463, 639763, 581638, 529201
`pop_density_2024`	Population density	float	SEL	0%	17	954.93, 60.63, 40.32, 45.07, 4112.0

Locality Locality — 1 table(s)

PRY LandScan - Cities (locality) — 9 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	PRY, PRY, PRY, PRY, PRY
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	9	Asuncion, Ciudad del Este, Encarnacion, Coronel Oviedo,...
`admin_code`	Admin code	integer	SEL	0%	9	217, 1050, 930, 527, 379
`area_sqkm`	Area sqkm	float	SEL	0%	8	381.3695, 105.5521, 45.8195, 22.9029, 24.8821
`pop_2024`	Population count	integer	SEL	0%	9	1907550, 385353, 130224, 85007, 79747
`pop_density_2024`	Population density	float	SEL	0%	9	5001.84, 3650.83, 2842.11, 3711.63, 3204.99

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%	9	1175482, 422701, 177551, 109880, 127053
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	9	1.623, 0.912, 0.733, 0.774, 0.628

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

17 rows · 1 table(s) Google 0 1 2 3 3 SEL 8 ext ▶

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

1 Admin 1 — 1 table(s)

PRY Mobility by Region — 17 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	PY, PY, PY, PY, PY
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	PRY, PRY, PRY, PRY, PRY

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	17	-17.36, -10.84, -19.76, -6.36, -6.07
`grocery`	grocery	float	0%	17	-4.36, 4.93, 8.33, 5.22, 11.82
`parks`	parks	float	0%	16	-15.52, 0.0, -25.65, -4.47, 2.3
`transit`	transit	float	0%	15	-39.37, -17.38, -29.94, 0.0, -38.24
`workplaces`	workplaces	float	0%	17	-9.44, -1.6, -2.76, -1.97, 5.25
`residential`	residential	float	0%	15	7.83, 10.27, 7.0, 0.0, 17.07
`region`	region	string	0%	17	Alto Paraná Department, Amambay Department, Asunción,...
`observation_count`	observation_count	integer	0%	8	974, 971, 974, 948, 971

PRY OpenFactBook PRY-OPENFACTBOOK Country Profile

16 rows · 16 table(s) OpenFactBook 0 1 2 3 99 SEL 2 CCL 604 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 — 16 table(s)

PRY OpenFactBook - Communications — 1 rows, 22 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	3.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	127.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.py
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	78.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	13.0
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	206,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	206000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	3 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	8.67 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	8.67
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	127 (2023 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	6 privately owned TV stations; about 75 commercial and...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	6.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	78% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	878,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	878000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	13 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

PRY OpenFactBook - Economy — 1 rows, 158 columns

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Field details — 158 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	16300.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	44.458
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	24.7
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (152) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	upper middle-income South American economy; COVID-19 hit...
`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	$112.919 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	112.919
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$108.316 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	108.316
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$103.159 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	103.159
`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	4.2% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	4.2
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	5.0
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	0.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	0.2
`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	$16,300 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$15,800 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	15800.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$15,300 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	15300.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$44.458 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	3.8% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	3.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	4.6% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	4.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	9.8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	9.8
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+122 more extension fields — download the CSV/Parquet to see them all.

PRY OpenFactBook - Energy — 1 rows, 31 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
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`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
`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	8.928 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	8.928
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	14.835 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	14.835
`electricity_exports_text`	electricity_exports_text	string	0%	1	24.202 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	24.202
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	5.209 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	5.209
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	99.4% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	99.4
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.5% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.5
`coal_consumption_text`	coal_consumption_text	string	0%	1	700 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	700.0
`coal_exports_text`	coal_exports_text	string	0%	1	10 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	10.0
`coal_imports_text`	coal_imports_text	string	0%	1	100 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	100.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	2,000 bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	2000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	52,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	52000.0
`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	25.733 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	25.733
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

PRY OpenFactBook - Environment — 1 rows, 54 columns

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Field details — 54 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	54.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	36.9
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	63.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.64
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.819
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (46) — 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; water pollution; toxic dumping in rivers...
`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	Nuclear Test Ban, Tropical Timber 2006
`international_environmental_agreements_signed_but_not_ratified_numeric`	international_environmental_agreements_signed_but_not_ratified_numeric	float	0%	1	2006.0
`climate_text`	climate_text	string	0%	1	subtropical to temperate; substantial rainfall in the...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	54.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 11.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	11.5
`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: 42.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	42.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	36.9% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	7.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	63.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.64% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	7.509 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	7.509
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	2,000 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	2000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	7.507 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	7.507
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	12.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	12.5
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	37.3 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	37.3
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	813 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	813.0
`methane_emissions_waste_text`	methane_emissions_waste_text	string	0%	1	101.2 kt (2019-2021 est.)
+16 more extension fields — download the CSV/Parquet to see them all.

PRY OpenFactBook - Ethnic Groups — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`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	Paraguayan(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Paraguayan
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Mestizo (mixed Spanish and Indigenous ancestry) 95%, other 5%
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	95.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

PRY OpenFactBook - Geography — 1 rows, 55 columns

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Field details — 55 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	406752.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	397302.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	9450.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	4655.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	842.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	46.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	54.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	36.9
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	1362.0
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (42) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Central South America, northeast of Argentina, southwest...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	23 00 S, 58 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	23.0
`map_references_text`	map_references_text	string	0%	1	South America
`area_total_text`	area_total_text	string	0%	1	406,752 sq km
`area_land_text`	area_land_text	string	0%	1	397,302 sq km
`area_water_text`	area_water_text	string	0%	1	9,450 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	about three times the size of New York State; slightly...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	4,655 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Argentina 2,531 km; Bolivia 753 km; Brazil 1,371 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	2531.0
`coastline_text`	coastline_text	string	0%	1	0 km (landlocked)
`maritime_claims_text`	maritime_claims_text	string	0%	1	none (landlocked)
`climate_text`	climate_text	string	0%	1	subtropical to temperate; substantial rainfall in the...
`terrain_text`	terrain_text	string	0%	1	grassy plains and wooded hills east of Rio Paraguay;...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Cerro Pero 842 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	junction of Río Paraguay and Río Paraná 46 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	178 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	178.0
`natural_resources_text`	natural_resources_text	string	0%	1	hydropower, timber, iron ore, manganese, limestone
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	54.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 11.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	11.5
`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: 42.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	42.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	36.9% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	7.0
+12 more extension fields — download the CSV/Parquet to see them all.

PRY OpenFactBook - Government — 1 rows, 122 columns

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Field details — 122 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	PRY
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (120) — 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 Paraguay
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Paraguay
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República del Paraguay
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Paraguay
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	derives from the river of the same name; the river's...
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Asunción
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	25 16 S, 57 40 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	25.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-3 (2 hour ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-3.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name means "assumption" in Spanish; the Spanish...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	15.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	17 departments (departamentos, singular - departamento)...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	17.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system with influences from Argentine,...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest approved and promulgated 20 June 1992
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	20.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed at the initiative of at least one quarter of...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	30000.0
`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	at least one parent must be a native-born citizen of Paraguay
`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 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 until the age of 75
`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 Santiago PEÑA Palacios (since 15 August 2023)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	15.0
+90 more extension fields — download the CSV/Parquet to see them all.

PRY OpenFactBook - Introduction — 1 rows, 7 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`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	Several Indigenous groups, principally belonging to the...
`background_numeric`	background_numeric	float	0%	1	16.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

PRY OpenFactBook - Languages — 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	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`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
`languages_languages_text`	Languages (text)	string	0%	1	Spanish (official) and Guarani (official) 46.3%, only...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	46.3
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`languages_note`	languages_note	string	0%	1	note: data represent predominant household language
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

PRY 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	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`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	7,649 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	7649.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	141 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	141.0
`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/pa.json

PRY OpenFactBook - Military And Security — 1 rows, 25 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`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	Armed Forces of Paraguay (Fuerzas Armadas de Paraguay;...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	0.8% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.8% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.8% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.0
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 15,000 active duty Armed Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	15000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory is comprised of mostly older or...
`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	18-25 years of age for voluntary service for men and...
`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 Paraguayan military is responsible for external...
`military_note_numeric`	military_note_numeric	float	0%	1	1930.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

PRY OpenFactBook - People And Society — 1 rows, 145 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	7604044.0
`population_male_numeric`	Population male	float	SEL	0%	1	3809407.0
`population_female_numeric`	Population female	float	SEL	0%	1	3794637.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	22.2
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	68.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	9.4
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	46.7
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	32.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	14.3
`median_age_total_numeric`	Median age	float	SEL	0%	1	32.3
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.06
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	15.66
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	4.97
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.07
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	63.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.64
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.0
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	58.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	21.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	78.8
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.88
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.92
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	3.89
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.0
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	94.9
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`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	7,604,044 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	3,809,407
`population_female_text`	population_female_text	string	0%	1	3,794,637
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	22.2% (male 850,191/female 821,237)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	68.4% (male 2,582,021/female 2,561,962)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	9.4% (2024 est.) (male 337,164/female 369,974)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	46.7 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	32.4 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	14.3 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	7 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	7.0
`median_age_total_text`	median_age_total_text	string	0%	1	32.3 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	31.6 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	31.6
`median_age_female_text`	median_age_female_text	string	0%	1	32 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	32.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.06% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	15.66 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	4.97 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.07 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	most of the population resides in the eastern half of...
`population_distribution_numeric`	population_distribution_numeric	float	0%	1	60.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	63.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.64% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	3.511 million ASUNCION (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	3.511
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.04 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	1.01 male(s)/female
+86 more extension fields — download the CSV/Parquet to see them all.

PRY OpenFactBook - Religions — 1 rows, 22 columns

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Field details — 22 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	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.6
`composition_ethnicity_primary_label_synth`	Mestizo (mixed Spanish and Indigenous ancestry)	string	CCL	0%	-	Mestizo (mixed Spanish and Indigenous ancestry)

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 80.4%, Protestant 7% (Evangelical...
`religions_numeric`	religions_numeric	float	0%	1	80.4
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

Pending (13) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	80.4
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	7.0
`composition_religion_protestant__evangelical_non_specific_pct_synth`	Evangelical (non-specific)	numeric	0%	-	6.7
`composition_religion_protestant__evangelical_pentecostal_pct_synth`	Evangelical Pentecostal	numeric	0%	-	0.05
`composition_religion_protestant__adventist_pct_synth`	Adventist	numeric	0%	-	0.05
`composition_religion_protestant__protestant_non_specific_pct_synth`	Protestant (non-specific)	numeric	0%	-	0.05
`composition_religion_believer_not_belonging_to_the_church_pct_synth`	Believer (not belonging to the church)	numeric	0%	-	5.7
`composition_religion_agnostic_pct_synth`	agnostic	numeric	0%	-	0.05
`composition_religion_none_pct_synth`	none	numeric	0%	-	0.2
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	6.2
`composition_ethnicity_mestizo_mixed_spanish_and_indigenous_ancestry_pct_synth`	Mestizo (mixed Spanish and Indigenous ancestry)	numeric	0%	-	95.0
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	5.0
`composition_ethnicity_primary_share_pct_synth`	Mestizo (mixed Spanish and Indigenous ancestry)	numeric	0%	-	95.0

PRY OpenFactBook - Space — 1 rows, 11 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	Space Agency of Paraguay (Agencia Especial del Paraguay,...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2014.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a small, recently established space program focused...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	2017 - organized country’s first international...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	2017.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

PRY OpenFactBook - Terrorism — 1 rows, 6 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Hizballah
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

PRY OpenFactBook - Transportation — 1 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	ZP
`airports_numeric`	Airports count	float	SEL	0%	1	83.0
`country_code`	Country code	string	SEL	0%	1	PRY
`country_name`	Country name	string	SEL	0%	1	Paraguay
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (26) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	83 (2025)
`heliports_text`	heliports_text	string	0%	1	29 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	29.0
`railways_total_text`	railways_total_text	string	0%	1	30 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	30.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	30 km (2014) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	30.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	108 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	108.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	container ship 2, general cargo 22, oil tanker 5, other 79
`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	1 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	1.0
`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	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`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	1
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	1.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	0
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	0.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Puerto de Asuncion
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-america/pa.json

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

9 rows · 1 table(s) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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

Locality Locality — 1 table(s)

PRY GHS-UCDB - Cities (locality) — 9 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%	9	Asuncion, Ciudad del Este, Encarnacion, Pedro Juan...
`country_code`	Country code	string	SEL	0%	1	PRY, PRY, PRY, PRY, PRY
`population`	Population count	integer	SEL	0%	9	1175482, 422701, 177551, 127053, 109880

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	9	217, 1050, 930, 379, 527
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Paraguay, Paraguay, Paraguay, Paraguay, Paraguay
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

5 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

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

0 Admin 0 — 2 table(s)

PRY 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	PRY, PRY, PRY, PRY
`gns_language_code`	gns_language_code	string	CCL	0%	4	spa, por, grn, eng
`gns_language_name`	gns_language_name	string	CCL	0%	4	Spanish, Portuguese, Guarani, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	9074, 5, 3, 3
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	99.8789, 0.055, 0.033, 0.033
`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

PRY Nga Gns - Summary — 1 rows, 29 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	PRY
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Paraguay
`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	99.9846
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	12964
`gns_feature_count`	gns_feature_count	integer	0%	1	10297
`gns_endonym_count`	gns_endonym_count	integer	0%	1	12962
`gns_exonym_count`	gns_exonym_count	integer	0%	1	2
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	8126
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	6827
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	609
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	542
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	385
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	342
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	958
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	284
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	1945
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	1588
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	897
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	687
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	41
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	25
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	3
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	2

PRY USAID DHS Program PRY-DHS Health Surveys

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

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

1 Admin 1 — 1 table(s)

PRY DHS - Health Indicators — 4 rows, 11 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	4	29.1, 18.7, 24.0, 16.8
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	4	29.0, 34.0, 41.0, 42.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	4	40.0, 44.0, 51.0, 56.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	4	43.6, 39.3, 27.8, 20.1
`children_underweight`	Children underweight	float	CCL	0%	3	2.7, 2.7, 1.9, 4.3

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	Paraguay, Paraguay, Paraguay, Paraguay
`survey_year`	survey_year	integer	0%	1	1990, 1990, 1990, 1990
`region`	region	string	0%	4	Asunción and MA, Center - South, East, North
`survey_id`	survey_id	string	0%	1	PY1990DHS, PY1990DHS, PY1990DHS, PY1990DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS

PRY D-PLACE PRY-DPLACE Ethnographic Societies

4 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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

0 Admin 0 — 1 table(s)

PRY D-PLACE - Dplace Ea Societies — 4 rows, 18 columns

Loading data…

Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRY, PRY, PRY, PRY
`society_id`	Society id	string	CCL	0%	4	Sh2, Sh5, Sh6, Sh9
`society_name`	Society name	string	CCL	0%	4	Terena, Choroti, Chamacoco, Lengua
`language_glottocode`	Language glottocode	string	CCL	0%	4	tere1279, iyow1239, cham1315, nort2971
`language_name`	Language name	string	CCL	0%	1	, , ,
`kinship_system`	Kinship system	string	CCL	0%	4	EA001:2; EA002:1; EA003:3; EA004:1; EA005:3, EA001:4;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	4	EA006:6; EA007:8; EA008:8; EA009:2; EA010:9, EA006:2;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	4	EA028:3; EA029:5; EA030:2; EA031:NA; EA032:4, EA028:2;...
`political_complexity`	Political complexity	string	CCL	0%	4	EA033:1; EA034:2; EA035:NA, EA033:1; EA034:1; EA035:5,...
`religion_importance`	Religion importance	string	CCL	0%	4	EA034:2; EA112:1, EA034:1; EA112:NA, EA034:3; EA112:2,...
`residence_pattern`	Residence pattern	string	CCL	0%	3	EA011:2; EA012:2; EA013:9, EA011:3; EA012:9; EA013:9,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Paraguay, Paraguay, Paraguay, Paraguay
`dataset`	dataset	string	0%	1	EA, EA, EA, EA
`region`	region	string	0%	1	, , ,
`latitude`	latitude	float	0%	4	-21.0, -22.0, -20.0, -23.0
`longitude`	longitude	float	0%	3	-58.0, -62.0, -59.0, -59.0
`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

PRY Ethnic Power Relations Dataset PRY-EPR Political Ethnicity

2 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

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0 Admin 0 — 1 table(s)

PRY EPR - Groups — 2 rows, 8 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRY, PRY
`ethnic_group_name`	Ethnic group name	string	CCL	0%	2	Whites/mestizos, Tupi-Guaraní and other indigenous groups
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	MONOPOLY, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	2	0.945, 0.02
`ethnic_group_id`	Ethnic group id	float	CCL	0%	2	15001000, 15005000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	, false

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021
`group_relevance`	group_relevance	string	0%	1	,

PRY Global Organized Crime Index PRY-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PRY Organized Crime Scores 2025 — 1 rows, 35 columns

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

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

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

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
World Bank Open Data	international_organization	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Google	commercial	bulk_download
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	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
Glottolog Language Catalog	academic	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