Poland

POL Gminy (Municipalities) Population 2024 POL-GUS-GMINY Census

3,800 rows · 1 table(s) · 2024 GUS (Statistics Poland) — Gminy 0 1 2 3 5 SEL 1 ext ▶

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3 Admin 3 — 1 table(s)

POL Gminy (Municipalities) Population 2024 — 3,918 rows, 6 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`unit_id`	unit id	string	SEL	0%	100	011212001011, 011212001022, 011212001032, 011212001042,...
`name`	name	string	SEL	0%	98	Bochnia, Bochnia, Drwinia, Lipnica Murowana, Łapanów
`population`	population	integer	SEL	0%	100	28339, 20867, 6354, 5514, 8652
`country_code`	country code	string	SEL	0%	1	POL, POL, POL, POL, POL
`admin_level`	admin level	integer	SEL	0%	1	3, 3, 3, 3, 3

Extension Fields (1) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	string	0%	1	2024, 2024, 2024, 2024, 2024

POL Powiaty (Counties) Population 2024 POL-GUS-POWIATY Census

100 rows · 1 table(s) · 2024 GUS (Statistics Poland) — Powiaty 0 1 2 3 3 SEL 1 ext ▶

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2 Admin 2 — 1 table(s)

POL Powiaty (Counties) Population 2024 — 100 rows, 5 columns

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Field details — 4 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`unit_id`	unit id	string	SEL	0%	100	011212001000, 011212006000, 011212008000, 011212009000,...
`name`	name	string	SEL	0%	100	Powiat bocheński, Powiat krakowski, Powiat miechowski,...
`population`	population	integer	SEL	0%	100	106985, 304278, 46305, 129984, 41929

Extension Fields (1) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	string	0%	1	2024, 2024, 2024, 2024, 2024

POL Voivodeships Population 2024 POL-GUS-VOIVODESHIPS Census

16 rows · 1 table(s) · 2024 GUS (Statistics Poland) — Voivodeships 0 1 2 3 3 SEL 1 ext ▶

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1 Admin 1 — 1 table(s)

POL Voivodeships Population 2024 — 16 rows, 5 columns

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Field details — 4 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`unit_id`	unit id	string	SEL	0%	16	011200000000, 012400000000, 020800000000, 023000000000,...
`name`	name	string	SEL	0%	16	MAŁOPOLSKIE, ŚLĄSKIE, LUBUSKIE, WIELKOPOLSKIE, ZACHODNIOPOMORSKIE
`population`	population	integer	SEL	0%	16	3429084, 4291441, 969819, 3479986, 1622760

Extension Fields (1) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	string	0%	1	2024, 2024, 2024, 2024, 2024

POL Poland - Economic, Social, Environmental, Health, POL-HDX-Poland_-_Economic,_Social,_Environm Indicators

84,324 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

POL Poland - Economic, Social, Environmental, Health, — 84,324 rows, 3,286 columns

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Field details — 3286 fields (type, nulls, unique, samples)

Extension Fields (3286) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	POL
`Fertilizer_consumption_pct_of_fertilizer_production`	Fertilizer_consumption_pct_of_fertilizer_production	float	0%	1	89.5325358288863
`Fertilizer_consumption_kilograms_per_hectare_of_arable_land`	Fertilizer_consumption_kilograms_per_hectare_of_arable_land	float	0%	1	155.600785574005
`Agricultural_land_sq._km`	Agricultural_land_sq._km	float	0%	1	145800.0
`Agricultural_land_pct_of_land_area`	Agricultural_land_pct_of_land_area	float	0%	1	47.6050543637967
`Arable_land_hectares`	Arable_land_hectares	float	0%	1	11202000.0
`Arable_land_hectares_per_person`	Arable_land_hectares_per_person	float	0%	1	0.30533682819799
`Arable_land_pct_of_land_area`	Arable_land_pct_of_land_area	float	0%	1	36.5755705749829
`Land_under_cereal_production_hectares`	Land_under_cereal_production_hectares	float	0%	1	7188220.0
`Permanent_cropland_pct_of_land_area`	Permanent_cropland_pct_of_land_area	float	0%	1	1.12319195481111
`Rural_land_area_where_elevation_is_below_5_meters_sq._km`	Rural_land_area_where_elevation_is_below_5_meters_sq._km	float	0%	1	3041.9206926
`Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	0.987739836583519
`Forest_area_sq._km`	Forest_area_sq._km	float	0%	1	95190.0
`Forest_area_pct_of_land_area`	Forest_area_pct_of_land_area	float	0%	1	31.0804192379273
`Agricultural_irrigated_land_pct_of_total_agricultural_land`	Agricultural_irrigated_land_pct_of_total_agricultural_land	float	0%	1	0.871056241426612
`Average_precipitation_in_depth_mm_per_year`	Average_precipitation_in_depth_mm_per_year	float	0%	1	600.0
`Land_area_sq._km`	Land_area_sq._km	float	0%	1	306270.0
`Rural_land_area_sq._km`	Rural_land_area_sq._km	float	0%	1	293194.000153099
`Cereal_production_metric_tons`	Cereal_production_metric_tons	float	0%	1	35183860.0
`Crop_production_index_2014-2016_=_100`	Crop_production_index_2014-2016_=_100	float	0%	1	110.01
`Food_production_index_2014-2016_=_100`	Food_production_index_2014-2016_=_100	float	0%	1	111.71
`Livestock_production_index_2014-2016_=_100`	Livestock_production_index_2014-2016_=_100	float	0%	1	113.33
`Surface_area_sq._km`	Surface_area_sq._km	float	0%	1	313930.0
`Cereal_yield_kg_per_hectare`	Cereal_yield_kg_per_hectare	float	0%	1	4894.7
`Access_to_electricity_rural_pct_of_rural_population`	Access_to_electricity_rural_pct_of_rural_population	float	0%	1	100.0
`Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_`	Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_	float	0%	1	0.527468579355219
`Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal	float	0%	1	13.01933649
`Agriculture_forestry_and_fishing_value_added_current_USusd`	Agriculture_forestry_and_fishing_value_added_current_USusd	float	0%	1	23314255569.6602
`Agriculture_forestry_and_fishing_value_added_pct_of_GDP`	Agriculture_forestry_and_fishing_value_added_pct_of_GDP	float	0%	1	2.54032372848325
`Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate`	Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate	float	0%	1	4.82474507003508
+3256 more extension fields — download the CSV/Parquet to see them all.

POL Poland - Health Indicators POL-HDX-Poland_-_Health_Indicators Indicators

20,121 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

POL Poland - Health Indicators — 20,121 rows, 17 columns

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

Extension Fields (17) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`GHO (CODE)`	GHO (CODE)	string	0%	68	HWF_0007, MORT_200, HWF_0006, RSUD_580, SA_0000001411
`GHO (DISPLAY)`	GHO (DISPLAY)	string	0%	68	Nursing and midwifery personnel (number), Deaths per 1...
`GHO (URL)`	GHO (URL)	string	0%	66	https://www.who.int/data/gho/data/indicators/indicator-de...
`YEAR (DISPLAY)`	YEAR (DISPLAY)	string	0%	34	2022, 2013, 1996, 2014, 2007
`STARTYEAR`	STARTYEAR	string	0%	34	2022, 2013, 1996, 2014, 2007
`ENDYEAR`	ENDYEAR	string	0%	34	2022, 2013, 1996, 2014, 2007
`REGION (CODE)`	REGION (CODE)	string	0%	1	EUR, EUR, EUR, EUR, EUR
`REGION (DISPLAY)`	REGION (DISPLAY)	string	0%	1	Europe, Europe, Europe, Europe, Europe
`COUNTRY (CODE)`	COUNTRY (CODE)	string	0%	1	POL, POL, POL, POL, POL
`COUNTRY (DISPLAY)`	COUNTRY (DISPLAY)	string	0%	1	Poland, Poland, Poland, Poland, Poland
`DIMENSION (TYPE)`	DIMENSION (TYPE)	string	13%	13	AGEGROUP, RSUDPREVENTIONPROGRAMME, SEX, SEX,...
`DIMENSION (CODE)`	DIMENSION (CODE)	string	13%	29	AGEGROUP_YEARS0-4,...
`DIMENSION (NAME)`	DIMENSION (NAME)	string	13%	28	0-4 years of age, School (manual) based programmes,...
`Numeric`	Numeric	float	21%	68	242797.0, 0.0, 62.55, 35.5017887, 0.433809298
`Value`	Value	string	1%	79	242 797, 0, 62.55, Yes, 35.5 [33.6 - 37.4]
`Low`	Low	float	46%	50	33.6444956, 0.421594834, 178.0, 17215.0, 0.0
`High`	High	float	46%	50	37.3590817, 0.44606157, 190.0, 17962.0, 0.0

POL Poland - Social Protection and Labor POL-HDX-Poland_-_Social_Protection_and_Labo Indicators

18,076 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

POL Poland - Social Protection And Labor — 18,076 rows, 1,349 columns

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Field details — 1349 fields (type, nulls, unique, samples)

Extension Fields (1349) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	POL
`Adequacy_of_benefits_in_extreme_poor_<usd2.15_a_day_pct_-All_Social_Protection_a`	Adequacy_of_benefits_in_extreme_poor_<usd2.15_a_day_pct_-All_Social_Protection_a	float	0%	1	95.5003707282963
`Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-rural`	Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-rural	float	0%	1	61.4581870146823
`Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-urban`	Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-urban	float	0%	1	66.9318830441627
`Adequacy_of_benefits_in_1st_quintile_poorest_pct_-All_Social_Protection_and_Labo`	Adequacy_of_benefits_in_1st_quintile_poorest_pct_-All_Social_Protection_and_Labo	float	0%	1	89.5447751112526
`Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_preT`	Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_preT	float	0%	1	83.0926289502147
`Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_-rural`	Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_-rural	float	0%	1	74.3757878381841
`Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor`	Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor	float	0%	1	73.2804492109928
`Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_-urban`	Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_-urban	float	0%	1	77.600723284935
`Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_preT`	Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_preT	float	0%	1	57.3984271486433
`Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_-rural`	Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_-rural	float	0%	1	65.6529554970132
`Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor`	Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor	float	0%	1	69.9846980181683
`Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_-urban`	Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_-urban	float	0%	1	73.7920108287506
`Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_preT`	Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_preT	float	0%	1	41.6320498741359
`Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_-rural`	Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_-rural	float	0%	1	56.7952594365284
`Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor`	Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor	float	0%	1	64.9570116546011
`Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_-urban`	Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_-urban	float	0%	1	68.8009991302101
`Adequacy_of_benefits_in_5th_quintile_richest_pct_-All_Social_Protection_and_Labo`	Adequacy_of_benefits_in_5th_quintile_richest_pct_-All_Social_Protection_and_Labo	float	0%	1	49.8395717441566
`Average_per_capita_transfer_held_by_extreme_poor_<usd2.15_a_day_-All_Social_Prot`	Average_per_capita_transfer_held_by_extreme_poor_<usd2.15_a_day_-All_Social_Prot	float	0%	1	1.92353171512628
`Average_per_capita_transfer_-All_Social_Protection_and_Labor_-rural`	Average_per_capita_transfer_-All_Social_Protection_and_Labor_-rural	float	0%	1	10.1089171624287
`Average_per_capita_transfer_-All_Social_Protection_and_Labor`	Average_per_capita_transfer_-All_Social_Protection_and_Labor	float	0%	1	12.5028914193977
`Average_per_capita_transfer_-All_Social_Protection_and_Labor_-urban`	Average_per_capita_transfer_-All_Social_Protection_and_Labor_-urban	float	0%	1	14.2074414341534
`Average_per_capita_transfer_held_by_1st_quintile_poorest_-All_Social_Protection_`	Average_per_capita_transfer_held_by_1st_quintile_poorest_-All_Social_Protection_	float	0%	1	8.96468640366464
`Average_per_capita_transfer_held_by_2nd_quintile_-All_Social_Protection_and_Labo`	Average_per_capita_transfer_held_by_2nd_quintile_-All_Social_Protection_and_Labo	float	0%	1	11.4239497701392
`Average_per_capita_transfer_held_by_3rd_quintile_-All_Social_Protection_and_Labo`	Average_per_capita_transfer_held_by_3rd_quintile_-All_Social_Protection_and_Labo	float	0%	1	14.1485114139938
`Average_per_capita_transfer_held_by_4th_quintile_-All_Social_Protection_and_Labo`	Average_per_capita_transfer_held_by_4th_quintile_-All_Social_Protection_and_Labo	float	0%	1	17.3077556614998
`Average_per_capita_transfer_held_by_5th_quintile_richest_-All_Social_Protection_`	Average_per_capita_transfer_held_by_5th_quintile_richest_-All_Social_Protection_	float	0%	1	21.682371748334
`Benefits_incidence_in_extreme_poor_<usd2.15_a_day_pct_-All_Social_Protection_and`	Benefits_incidence_in_extreme_poor_<usd2.15_a_day_pct_-All_Social_Protection_and	float	0%	1	0.0
`Benefits_incidence_in_1st_quintile_poorest_pct_-All_Social_Protection_and_Labor_`	Benefits_incidence_in_1st_quintile_poorest_pct_-All_Social_Protection_and_Labor_	float	0%	1	14.4513548630416
`Benefits_incidence_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_preT`	Benefits_incidence_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_preT	float	0%	1	22.5961877942966
+1319 more extension fields — download the CSV/Parquet to see them all.

POL Poland - Education POL-HDX-Poland_-_Education Indicators

16,690 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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)

POL Poland - Education — 16,690 rows, 868 columns

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Field details — 868 fields (type, nulls, unique, samples)

Extension Fields (868) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	POL
`Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education	float	0%	1	0.05
`Barro-Lee:_Percentage_of_population_age_15-19_with_no_education`	Barro-Lee:_Percentage_of_population_age_15-19_with_no_education	float	0%	1	0.13
`Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education	float	0%	1	0.33
`Barro-Lee:_Percentage_of_population_age_15+_with_no_education`	Barro-Lee:_Percentage_of_population_age_15+_with_no_education	float	0%	1	0.27
`Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education	float	0%	1	0.13
`Barro-Lee:_Percentage_of_population_age_20-24_with_no_education`	Barro-Lee:_Percentage_of_population_age_20-24_with_no_education	float	0%	1	0.15
`Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education	float	0%	1	0.1
`Barro-Lee:_Percentage_of_population_age_25-29_with_no_education`	Barro-Lee:_Percentage_of_population_age_25-29_with_no_education	float	0%	1	0.16
`Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education	float	0%	1	0.37
`Barro-Lee:_Percentage_of_population_age_25+_with_no_education`	Barro-Lee:_Percentage_of_population_age_25+_with_no_education	float	0%	1	0.29
`Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education	float	0%	1	0.15
`Barro-Lee:_Percentage_of_population_age_30-34_with_no_education`	Barro-Lee:_Percentage_of_population_age_30-34_with_no_education	float	0%	1	0.23
`Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education	float	0%	1	0.15
`Barro-Lee:_Percentage_of_population_age_35-39_with_no_education`	Barro-Lee:_Percentage_of_population_age_35-39_with_no_education	float	0%	1	0.17
`Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education	float	0%	1	0.15
`Barro-Lee:_Percentage_of_population_age_40-44_with_no_education`	Barro-Lee:_Percentage_of_population_age_40-44_with_no_education	float	0%	1	0.17
`Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education	float	0%	1	0.12
`Barro-Lee:_Percentage_of_population_age_45-49_with_no_education`	Barro-Lee:_Percentage_of_population_age_45-49_with_no_education	float	0%	1	0.13
`Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education	float	0%	1	0.12
`Barro-Lee:_Percentage_of_population_age_50-54_with_no_education`	Barro-Lee:_Percentage_of_population_age_50-54_with_no_education	float	0%	1	0.13
`Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education	float	0%	1	0.1
`Barro-Lee:_Percentage_of_population_age_55-59_with_no_education`	Barro-Lee:_Percentage_of_population_age_55-59_with_no_education	float	0%	1	0.12
`Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education	float	0%	1	0.1
`Barro-Lee:_Percentage_of_population_age_60-64_with_no_education`	Barro-Lee:_Percentage_of_population_age_60-64_with_no_education	float	0%	1	0.12
`Barro-Lee:_Population_in_thousands_age_15-19_total`	Barro-Lee:_Population_in_thousands_age_15-19_total	float	0%	1	2461.0
`Barro-Lee:_Population_in_thousands_age_15-19_female`	Barro-Lee:_Population_in_thousands_age_15-19_female	float	0%	1	1201.0
`Barro-Lee:_Population_in_thousands_age_15+_total`	Barro-Lee:_Population_in_thousands_age_15+_total	float	0%	1	32711.0
`Barro-Lee:_Population_in_thousands_age_15+_female`	Barro-Lee:_Population_in_thousands_age_15+_female	float	0%	1	17033.0
`Barro-Lee:_Population_in_thousands_age_20-24_total`	Barro-Lee:_Population_in_thousands_age_20-24_total	float	0%	1	2905.0
+838 more extension fields — download the CSV/Parquet to see them all.

POL Poland - Gender POL-HDX-Poland_-_Gender Indicators

4,331 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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)

POL Poland - Gender — 4,331 rows, 160 columns

Loading data…

Field details — 160 fields (type, nulls, unique, samples)

Extension Fields (160) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	POL
`Firms_with_female_top_manager_pct_of_firms`	Firms_with_female_top_manager_pct_of_firms	float	0%	1	32.28123093
`Firms_with_female_participation_in_ownership_pct_of_firms`	Firms_with_female_participation_in_ownership_pct_of_firms	float	0%	1	36.86085892
`Literacy_rate_youth_female_pct_of_females_ages_15-24`	Literacy_rate_youth_female_pct_of_females_ages_15-24	float	0%	1	99.8199996948242
`Literacy_rate_youth_ages_15-24_gender_parity_index_GPI`	Literacy_rate_youth_ages_15-24_gender_parity_index_GPI	float	0%	1	1.0
`Literacy_rate_youth_male_pct_of_males_ages_15-24`	Literacy_rate_youth_male_pct_of_males_ages_15-24	float	0%	1	99.7799987792969
`Literacy_rate_adult_female_pct_of_females_ages_15_and_above`	Literacy_rate_adult_female_pct_of_females_ages_15_and_above	float	0%	1	98.25
`Literacy_rate_adult_male_pct_of_males_ages_15_and_above`	Literacy_rate_adult_male_pct_of_males_ages_15_and_above	float	0%	1	99.2799987792969
`School_enrollment_primary_gross_gender_parity_index_GPI`	School_enrollment_primary_gross_gender_parity_index_GPI	float	0%	1	0.96372002363205
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI	float	0%	1	0.980530023574829
`School_enrollment_secondary_gross_gender_parity_index_GPI`	School_enrollment_secondary_gross_gender_parity_index_GPI	float	0%	1	0.986429989337921
`School_enrollment_tertiary_gross_gender_parity_index_GPI`	School_enrollment_tertiary_gross_gender_parity_index_GPI	float	0%	1	1.34798002243042
`School_enrollment_preprimary_female_pct_gross`	School_enrollment_preprimary_female_pct_gross	float	0%	1	93.8269882202148
`School_enrollment_preprimary_male_pct_gross`	School_enrollment_preprimary_male_pct_gross	float	0%	1	93.902458190918
`Primary_completion_rate_female_pct_of_relevant_age_group`	Primary_completion_rate_female_pct_of_relevant_age_group	float	0%	1	103.955978393555
`Primary_completion_rate_male_pct_of_relevant_age_group`	Primary_completion_rate_male_pct_of_relevant_age_group	float	0%	1	104.010070800781
`Educational_attainment_at_least_completed_primary_population_25+_years_female_pc`	Educational_attainment_at_least_completed_primary_population_25+_years_female_pc	float	0%	1	99.7294953896566
`Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_`	Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_	float	0%	1	99.6640881452232
`Educational_attainment_at_least_completed_primary_population_25+_years_total_pct`	Educational_attainment_at_least_completed_primary_population_25+_years_total_pct	float	0%	1	99.6983960255467
`Primary_education_pupils_pct_female`	Primary_education_pupils_pct_female	float	0%	1	48.71095
`School_enrollment_primary_female_pct_gross`	School_enrollment_primary_female_pct_gross	float	0%	1	105.223411560059
`School_enrollment_primary_male_pct_gross`	School_enrollment_primary_male_pct_gross	float	0%	1	105.561531066895
`Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag`	Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag	float	0%	1	96.10778
`Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_`	Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_	float	0%	1	96.7695
`School_enrollment_primary_female_pct_net`	School_enrollment_primary_female_pct_net	float	0%	1	95.61223
`School_enrollment_primary_male_pct_net`	School_enrollment_primary_male_pct_net	float	0%	1	95.94851
`Persistence_to_grade_5_female_pct_of_cohort`	Persistence_to_grade_5_female_pct_of_cohort	float	0%	1	99.4494018554688
`Persistence_to_grade_5_male_pct_of_cohort`	Persistence_to_grade_5_male_pct_of_cohort	float	0%	1	99.6817779541016
`Persistence_to_last_grade_of_primary_female_pct_of_cohort`	Persistence_to_last_grade_of_primary_female_pct_of_cohort	float	0%	1	100.0
`Persistence_to_last_grade_of_primary_male_pct_of_cohort`	Persistence_to_last_grade_of_primary_male_pct_of_cohort	float	0%	1	99.8285369873047
+130 more extension fields — download the CSV/Parquet to see them all.

POL Poland - Human Development Indicators POL-HDX-Poland_-_Human_Development_Indicato Indicators

958 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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)

POL Poland - Human Development Indicators — 958 rows, 36 columns

Loading data…

Field details — 36 fields (type, nulls, unique, samples)

Extension Fields (36) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	POL
`abr`	abr	float	0%	1	6.191
`co2_prod`	co2_prod	float	0%	1	7.051
`coef_ineq`	coef_ineq	float	0%	1	9.495
`diff_hdi_phdi`	diff_hdi_phdi	float	0%	1	12.583
`eys`	eys	float	0%	1	16.678
`eys_f`	eys_f	float	0%	1	17.556
`eys_m`	eys_m	float	0%	1	15.837
`gdi_group`	gdi_group	float	0%	1	1.0
`gii_rank`	gii_rank	float	0%	1	29.0
`gni_pc_f`	gni_pc_f	float	0%	1	33206.272
`gni_pc_m`	gni_pc_m	float	0%	1	51801.531
`gnipc`	gnipc	float	0%	1	42217.638
`hdi_f`	hdi_f	float	0%	1	0.91
`hdi_m`	hdi_m	float	0%	1	0.899
`hdi_rank`	hdi_rank	float	0%	1	35.0
`ineq_edu`	ineq_edu	float	0%	1	4.761
`ineq_inc`	ineq_inc	float	0%	1	19.802
`ineq_le`	ineq_le	float	0%	1	3.923
`le`	le	float	0%	1	78.633
`le_f`	le_f	float	0%	1	82.354
`le_m`	le_m	float	0%	1	74.877
`lfpr_f`	lfpr_f	float	0%	1	51.97
`lfpr_m`	lfpr_m	float	0%	1	66.31
`loss`	loss	float	0%	1	9.823
`mf`	mf	float	0%	1	14.47
`mmr`	mmr	float	0%	1	1.959
`mys`	mys	float	0%	1	13.209
`mys_f`	mys_f	float	0%	1	13.409
`mys_m`	mys_m	float	0%	1	12.998
+6 more extension fields — download the CSV/Parquet to see them all.

POL Poland - Urban Development POL-HDX-Poland_-_Urban_Development Indicators

642 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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)

POL Poland - Urban Development — 642 rows, 18 columns

Loading data…

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	POL
`Urban_land_area_where_elevation_is_below_5_meters_sq._km`	Urban_land_area_where_elevation_is_below_5_meters_sq._km	float	0%	1	222.037563726
`Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	0.0720976544338071
`Urban_land_area_sq._km`	Urban_land_area_sq._km	float	0%	1	14773.8047216808
`Access_to_electricity_urban_pct_of_urban_population`	Access_to_electricity_urban_pct_of_urban_population	float	0%	1	100.0
`PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter`	PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter	float	0%	1	17.9583314936851
`PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p`	PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p	float	0%	1	99.9661157279646
`Population_density_people_per_sq._km_of_land_area`	Population_density_people_per_sq._km_of_land_area	float	0%	1	119.787615502661
`Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_`	Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_	float	0%	1	1.05831371673109
`Population_living_in_slums_pct_of_urban_population`	Population_living_in_slums_pct_of_urban_population	float	0%	1	4.21795
`Population_in_largest_city`	Population_in_largest_city	float	0%	1	1800233.0
`Population_in_the_largest_city_pct_of_urban_population`	Population_in_the_largest_city_pct_of_urban_population	float	0%	1	8.29436370030574
`Population_in_urban_agglomerations_of_more_than_1_million`	Population_in_urban_agglomerations_of_more_than_1_million	float	0%	1	1800233.0
`Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio`	Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio	float	0%	1	4.98369601085729
`Mortality_caused_by_road_traffic_injury_per_100000_population`	Mortality_caused_by_road_traffic_injury_per_100000_population	float	0%	1	9.4
`Urban_population_growth_annual_pct`	Urban_population_growth_annual_pct	float	0%	1	-0.208678244418305
`Urban_population`	Urban_population	float	0%	1	21924772.0
`Urban_population_pct_of_total_population`	Urban_population_pct_of_total_population	float	0%	1	59.9705468695101

POL Global Data Lab POL-GDL Development Indices

578 rows · 1 table(s) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.

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)

POL GDL - Subnational Indices — 578 rows, 11 columns

Loading data…

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	POL, POL, POL, POL, POL
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	17	Poland, Dolnoslaskie, Kujawsko-Pomorskie, Lodzkie, Lubelskie
`human_development_index`	Human development index	float	SEL	0%	58	0.727, 0.736, 0.718, 0.723, 0.714
`health_index`	Health index	float	SEL	0%	44	0.779, 0.771, 0.77, 0.768, 0.787
`education_index`	Education index	float	SEL	0%	70	0.673, 0.687, 0.661, 0.676, 0.67
`income_index`	Income index	float	SEL	0%	62	0.732, 0.752, 0.728, 0.726, 0.69
`life_expectancy`	Life expectancy	float	SEL	0%	74	70.61, 70.14, 70.04, 69.94, 71.14
`mean_years_schooling`	Mean years schooling	float	SEL	0%	61	10.1, 10.13, 10.03, 10.13, 10.04

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	6	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	1	subnational, subnational, subnational, subnational, subnational

POL Poland - Risk Assessment Indicators POL-HDX-Poland_-_Risk_Assessment_Indicators Indicators

380 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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)

POL Poland - Risk Assessment Indicators — 380 rows, 50 columns

Loading data…

Field details — 50 fields (type, nulls, unique, samples)

Extension Fields (50) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ADM2_PCODE`	ADM2_PCODE	string	0%	100	PL002001, PL002002, PL002003, PL002004, PL002005
`ADM_PCODE`	ADM_PCODE	string	0%	100	PL002001, PL002002, PL002003, PL002004, PL002005
`RP10_female_pop_30cm`	RP10_female_pop_30cm	string	0%	99	1362, 34, 3325, 1467, 21
`RP10_children_u5_30cm`	RP10_children_u5_30cm	string	0%	82	112, 3, 274, 121, 2
`RP10_female_u5_30cm`	RP10_female_u5_30cm	string	0%	67	55, 1, 134, 59, 1
`RP10_elderly_30cm`	RP10_elderly_30cm	string	0%	96	478, 12, 1166, 514, 7
`RP10_pop_u15_30cm`	RP10_pop_u15_30cm	string	0%	92	358, 9, 873, 385, 5
`RP10_female_u15_30cm`	RP10_female_u15_30cm	string	0%	85	174, 4, 426, 188, 3
`RP10_education_30cm_pct`	RP10_education_30cm_pct	string	0%	5	0, 0, 0, 0, 0
`RP10_education_30cm_count`	RP10_education_30cm_count	string	0%	4	0, 0, 0, 0, 0
`RP10_hospitals_30cm_pct`	RP10_hospitals_30cm_pct	string	0%	3	0, 0, 0, 0, 0
`RP10_hospitals_30cm_count`	RP10_hospitals_30cm_count	string	0%	2	0, 0, 0, 0, 0
`RP10_primary_healthcare_30cm_pct`	RP10_primary_healthcare_30cm_pct	string	0%	8	0, 0, 0, 0, 0
`RP10_primary_healthcare_30cm_count`	RP10_primary_healthcare_30cm_count	string	0%	4	0, 0, 0, 0, 0
`RP50_female_pop_30cm`	RP50_female_pop_30cm	string	0%	96	1481, 34, 4034, 1941, 21
`RP50_children_u5_30cm`	RP50_children_u5_30cm	string	0%	81	122, 3, 333, 160, 2
`RP50_female_u5_30cm`	RP50_female_u5_30cm	string	0%	70	60, 1, 163, 78, 1
`RP50_elderly_30cm`	RP50_elderly_30cm	string	0%	90	519, 12, 1415, 681, 7
`RP50_pop_u15_30cm`	RP50_pop_u15_30cm	string	0%	88	389, 9, 1059, 509, 5
`RP50_female_u15_30cm`	RP50_female_u15_30cm	string	0%	86	190, 4, 516, 248, 3
`RP50_education_30cm_pct`	RP50_education_30cm_pct	string	0%	8	0, 0, 0, 0, 0
`RP50_education_30cm_count`	RP50_education_30cm_count	string	0%	5	0, 0, 0, 0, 0
`RP50_hospitals_30cm_pct`	RP50_hospitals_30cm_pct	string	0%	4	0, 0, 0, 0, 0
`RP50_hospitals_30cm_count`	RP50_hospitals_30cm_count	string	0%	2	0, 0, 0, 0, 0
`RP50_primary_healthcare_30cm_pct`	RP50_primary_healthcare_30cm_pct	string	0%	9	0, 0, 0, 0, 0
`RP50_primary_healthcare_30cm_count`	RP50_primary_healthcare_30cm_count	string	0%	5	0, 0, 0, 0, 0
`RP100_female_pop_30cm`	RP100_female_pop_30cm	string	0%	100	1532, 34, 4235, 2053, 21
`RP100_children_u5_30cm`	RP100_children_u5_30cm	string	0%	84	126, 3, 349, 169, 2
`RP100_female_u5_30cm`	RP100_female_u5_30cm	string	0%	72	62, 1, 171, 83, 1
`RP100_elderly_30cm`	RP100_elderly_30cm	string	0%	92	537, 12, 1485, 720, 7
+20 more extension fields — download the CSV/Parquet to see them all.

POL Poland - Demographic, Health, Education and Transp POL-HDX-Poland_-_Demographic,_Health,_Educa Indicators

315 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

POL Poland - Demographic, Health, Education And Transp — 315 rows, 11 columns

Loading data…

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`category`	category	string	0%	7	Population, Population, Population, Population, Population
`indicator`	indicator	string	0%	19	avg_annual_rate_change_percentage_urban,...
`indicator_friendly`	indicator_friendly	string	0%	19	Average annual rate of change of population – Urban,...
`type_data`	type_data	string	0%	4	p, p, p, p, p
`latitude`	latitude	string	0%	3	52.250001, 52.250001, 52, 52, 52
`longitude`	longitude	string	0%	3	21, 21, 20, 20, 20
`region_id`	region_id	string	0%	2	89, 89, 89, 89, 89
`country_id`	country_id	string	0%	2	PL, PL, PL, PL, PL
`name`	name	string	0%	3	Warsaw, Warsaw, Poland, Poland, Poland
`year`	year	string	0%	26	2000, 2010, 1985, 1955, 2020
`value`	value	string	0%	81	0.3, 0.42, 0.44, 2.06, 0.49

POL World Bank Open Data POL-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

POL World Bank - Development Indicators — 66 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PL, PL, PL, PL, PL
`population_count`	Population count	float	SEL	2%	65	29637450.0, 29964000.0, 30308500.0, 30712000.0, 31139450.0
`life_expectancy`	Life expectancy	float	SEL	3%	63	67.6804878048781, 67.7780487804878, 67.4268292682927,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	47%	35	1731.2095094382, 2235.54108862522, 2459.02068468253,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	99%	1	98.7399978637695
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	60	65.1, 60.2, 56.0, 52.3, 48.9
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	62%	19	16.0, 16.0, 15.6, 16.6, 20.5

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

POL World Bank - Health Indicators — 66 rows, 14 columns

Loading data…

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	PL, PL, PL, PL, PL
`life_expectancy`	Life expectancy	float	SEL	3%	63	67.6804878048781, 67.7780487804878, 67.4268292682927,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	17%	51	18.7, 18.3, 17.7, 17.2, 16.7
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	60	65.1, 60.2, 56.0, 52.3, 48.9
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	16	19.0, 19.0, 18.0, 18.0, 18.0
`fertility_rate`	Fertility rate	float	SEL	3%	48	2.98, 2.83, 2.72, 2.7, 2.57
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	44	22.6, 20.9, 19.8, 19.2, 18.1
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	32	7.6, 7.6, 7.9, 7.5, 7.6
`physicians_per_1000`	Physicians per 1000	float	SEL	6%	45	1.0, 1.0, 1.1, 1.1, 1.2
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	49%	25	4.59999990463257, 5.19999980926514, 5.59999990463257,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	6	96.0, 96.0, 95.0, 95.0, 95.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	62%	25	5.26548243, 5.64010143, 6.04828405, 5.93375778, 5.84185648

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

POL UNHCR Refugee Data Finder POL-UNHCR Migration

89 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

POL UNHCR - Hosted Populations — 35 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%	-	-

POL UNHCR - Origin Populations — 54 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%	-	-

POL LandScan Global (ORNL) POL-LANDSCAN Modeled Population

80 rows · 3 table(s) · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

POL 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	POL
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Poland
`admin_code`	Admin code	string	SEL	0%	1	46201696B78317241719416
`area_sqkm`	Area sqkm	float	SEL	0%	1	313969.3358
`pop_2024`	Population count	integer	SEL	0%	1	38702002
`pop_density_2024`	Population density	float	SEL	0%	1	123.27

1 Admin 1 — 1 table(s)

POL LandScan - Population Admin1 (admin_1) — 16 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	POL, POL, POL, POL, POL
`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%	16	Masovian Voivodeship, Silesian Voivodeship, Greater...
`admin_code`	Admin code	string	SEL	0%	16	17162690B84565288021286, 17162690B16879770934003,...
`area_sqkm`	Area sqkm	float	SEL	0%	16	35558.3583, 12333.7318, 29825.4278, 15184.226, 19946.8549
`pop_2024`	Population count	integer	SEL	0%	16	5643466, 4393041, 3544297, 3511930, 2972905
`pop_density_2024`	Population density	float	SEL	0%	16	158.71, 356.18, 118.83, 231.29, 149.04

Locality Locality — 1 table(s)

POL LandScan - Cities (locality) — 63 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	POL, POL, POL, POL, POL
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	63	Warsaw, Katowice, Krakow, Lodz, Wrocław
`admin_code`	Admin code	integer	SEL	0%	63	3712, 3008, 3662, 3183, 1599
`area_sqkm`	Area sqkm	float	SEL	0%	63	415.6884, 265.3243, 176.2067, 136.2117, 118.1664
`pop_2024`	Population count	integer	SEL	0%	63	2022382, 858560, 775381, 606464, 585347
`pop_density_2024`	Population density	float	SEL	0%	63	4865.14, 3235.89, 4400.41, 4452.36, 4953.58

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%	63	1999986, 879406, 723413, 582587, 531845
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	57	1.011, 0.976, 1.072, 1.041, 1.101

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

63 rows · 1 table(s) · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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Locality Locality — 1 table(s)

POL GHS-UCDB - Cities (locality) — 63 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%	63	Warsaw, Katowice, Krakow, Lodz, Wrocław
`country_code`	Country code	string	SEL	0%	1	POL, POL, POL, POL, POL
`population`	Population count	integer	SEL	0%	63	1999986, 879406, 723413, 582587, 531845

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	63	3712, 3008, 3662, 3183, 1599
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Poland, Poland, Poland, Poland, Poland
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

POL Glottolog Language Catalog POL-GLOTTOLOG Language

22 rows · 1 table(s) · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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0 Admin 0 — 1 table(s)

POL Glottolog - Languages — 22 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%	22	balk1252, balt1257, bela1254, carp1235, czec1258
`name`	Name	string	CCL	0%	22	Balkan Romani, Baltic Romani, Belarusian, Central Romani, Czech
`iso639_3`	Iso639 3	string	CCL	0%	22	rmn, rml, bel, rmc, ces
`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%	3	indo1319, indo1319, indo1319, indo1319, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	13	roma1329, roma1329, east1426, roma1329, czec1260
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	16	['AL', 'AT', 'BA', 'BG', 'BY', 'CH', 'CZ', 'DE', 'FI',...
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	11	19, 7, 3, 14, 10

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	22	42.67, 57.29, 53.2307, 48.1968, 49.873398
`longitude`	longitude	float	0%	22	21.17, 29.06, 25.6038, 20.3129, 15.10437
`classification`	classification	string	0%	1	[], [], [], [], []

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

18 rows · 2 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 20 ext ▶

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0 Admin 0 — 2 table(s)

POL Nga Gns - Language — 17 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	POL, POL, POL, POL, POL
`gns_language_code`	gns_language_code	string	CCL	0%	17	pol, eng, deu, rus, ukr
`gns_language_name`	gns_language_name	string	CCL	0%	17	Polish, English, German, Russian, Ukrainian
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	11	875, 361, 227, 69, 27
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	11	54.3478, 22.4224, 14.0994, 4.2857, 1.677
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	5	0, 0, 0, 25, 12
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	, , , Cyrl, Cyrl
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	, , , Cyrillic, Cyrillic
`gns_script_count`	gns_script_count	integer	CCL	0%	2	0, 0, 0, 1, 1

POL Nga Gns - Summary — 1 rows, 27 columns

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Field details — 27 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	POL
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Poland
`gns_language_count`	gns_language_count	integer	CCL	0%	1	17
`gns_script_count`	gns_script_count	integer	CCL	0%	1	1
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9779
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	44

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	63222
`gns_feature_count`	gns_feature_count	integer	0%	1	48657
`gns_endonym_count`	gns_endonym_count	integer	0%	1	63208
`gns_exonym_count`	gns_exonym_count	integer	0%	1	14
`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	56140
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	44467
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	915
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	579
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	3923
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	2282
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	991
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	619
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	284
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	216
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	111
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	48
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	858
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	446

POL OpenFactBook POL-OPENFACTBOOK Country Profile

17 rows · 17 table(s) · 2024 OpenFactBook 0 1 2 3 101 SEL 4 CCL 634 ext ▶

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0 Admin 0 — 17 table(s)

POL OpenFactBook - Communications — 1 rows, 21 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	13.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	132.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.pl
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	86.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	26.0
`country_code`	Country code	string	SEL	0%	1	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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	4.987 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	4.987
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	13 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	52.4 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	52.4
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	132 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-run public TV operates 2 national channels...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	86% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	10.1 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	10.1
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	26 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

POL 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	45100.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	914.696
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	12.2
`country_code`	Country code	string	SEL	0%	1	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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, diversified, EU-member economy; significant...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	2004.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.649 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	1.649
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$1.602 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	1.602
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.598 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	1.598
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	2.9% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.9
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	0.2% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	0.2
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	5.3% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	5.3
`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	$45,100 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$43,700 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	43700.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$43,400 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	43400.0
`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	$914.696 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	11.5% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	11.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	14.4% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	14.4
`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.

POL OpenFactBook - Energy — 1 rows, 55 columns

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Field details — 55 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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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
`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	64.806 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	64.806
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	159.639 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	159.639
`electricity_exports_text`	electricity_exports_text	string	0%	1	11.403 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	11.403
`electricity_imports_text`	electricity_imports_text	string	0%	1	15.14 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	15.14
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	8.549 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	8.549
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	72.7% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	72.7
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	6.9% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	6.9
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	14.4% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	14.4
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	1.1% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	1.1
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	4.9% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	4.9
`coal_production_text`	coal_production_text	string	0%	1	96.72 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	96.72
`coal_consumption_text`	coal_consumption_text	string	0%	1	99.932 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	99.932
`coal_exports_text`	coal_exports_text	string	0%	1	10.805 million metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	10.805
`coal_imports_text`	coal_imports_text	string	0%	1	10.041 million metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	10.041
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	27.758 billion metric tons (2023 est.)
+21 more extension fields — download the CSV/Parquet to see them all.

POL OpenFactBook - Environment — 1 rows, 54 columns

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Field details — 60 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	47.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	31.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	60.2
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	-0.16
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	12.758
`country_code`	Country code	string	SEL	0%	1	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (52) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air pollution (despite environmental policy...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Air Pollution, Air Pollution-Nitrogen Oxides, Air...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	94.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Air Pollution-Heavy Metals, Air Pollution-Multi-effect...
`climate_text`	climate_text	string	0%	1	temperate with cold, cloudy, moderately severe winters...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	47.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 36.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	36.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 9.8% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	9.8
`land_use_forest_text`	land_use_forest_text	string	0%	1	31% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	21% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	21.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	60.2% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	-0.16% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	264.031 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	264.031
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	132.101 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	132.101
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	95.095 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	95.095
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	36.835 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	36.835
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	18.8 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	18.8
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	954.2 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	954.2
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	595.9 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

POL 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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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	Pole(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Polish
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Polish 96.9%, Silesian 1.1%, German 0.2%, Ukrainian...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	96.9
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

POL OpenFactBook - Geography — 1 rows, 53 columns

Loading data…

Field details — 57 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	312685.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	304255.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	8430.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	2865.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	440.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2499.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-2.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	47.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	31.0
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	1327.0
`country_code`	Country code	string	SEL	0%	1	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Central Europe, east of Germany
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	52 00 N, 20 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	52.0
`map_references_text`	map_references_text	string	0%	1	Europe
`area_total_text`	area_total_text	string	0%	1	312,685 sq km
`area_land_text`	area_land_text	string	0%	1	304,255 sq km
`area_water_text`	area_water_text	string	0%	1	8,430 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	about twice the size of Georgia; slightly smaller than New Mexico
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	2,865 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Belarus 375 km; Czechia 699 km; Germany 467 km;...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	375.0
`coastline_text`	coastline_text	string	0%	1	440 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	defined by international treaties
`climate_text`	climate_text	string	0%	1	temperate with cold, cloudy, moderately severe winters...
`terrain_text`	terrain_text	string	0%	1	mostly flat plain; mountains along southern border
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Rysy 2,499 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	near Raczki Elblaskie -2 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	173 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	173.0
`natural_resources_text`	natural_resources_text	string	0%	1	coal, sulfur, copper, natural gas, silver, lead, salt,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	47.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 36.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	36.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 9.8% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	9.8
`land_use_forest_text`	land_use_forest_text	string	0%	1	31% (2023 est.)
+14 more extension fields — download the CSV/Parquet to see them all.

POL OpenFactBook - Government — 1 rows, 95 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	POL
`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	Republic of Poland
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Poland
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Rzeczpospolita Polska
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Polska
`country_name_former_text`	country_name_former_text	string	0%	1	Polish People's Republic
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name probably comes from the Slavic word pole (field...
`government_type_text`	government_type_text	string	0%	1	parliamentary republic
`capital_name_text`	capital_name_text	string	0%	1	Warsaw
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	52 15 N, 21 00 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	52.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+1 (6 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	1.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	+1hr, begins last Sunday in March; ends last Sunday in October
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	0%	1	1.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the origin of the name is unknown; Warszawa was the name...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	16 provinces or voivodships (wojewodztwa, singular -...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	16.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system; judicial review of legislative,...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 2 April 1997, approved...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	2.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by at least one fifth of Sejm deputies, by the...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	both parents must be citizens of Poland
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	President Karol NAWROCKI (since 6 August 2025)
+92 more extension fields — download the CSV/Parquet to see them all.

POL 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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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	Poland's history as a state began near the middle of the...
`background_numeric`	background_numeric	float	0%	1	10.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

POL OpenFactBook - Languages — 1 rows, 8 columns

Loading data…

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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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	Polish (official) 98.2%, Silesian 1.4%, other 1.1%,...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	98.2
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	Księga Faktów Świata, niezbędne źródło podstawowych...
`languages_note`	languages_note	string	0%	1	note 1: shares of languages sum to more than 100%...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

POL OpenFactBook - Migration — 1 rows, 9 columns

Loading data…

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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	1,019,863 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	1019863.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	1,486 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	1486.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

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

Loading data…

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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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	Polish Armed Forces (Polskie Siły Zbrojne): Land Forces...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2025_text`	Military expenditures 2025 (text)	string	0%	1	4.5% of GDP (2025 est.)
`military_expenditures_military_expenditures_2025_numeric`	Military expenditures 2025 (numeric)	float	0%	1	4.5
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	3.8% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	3.8
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	3.3% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	3.3
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	2.2% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	2.2
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	2.2% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	2.2
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 235,000 active military personnel (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	235000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory consists of a mix of some...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	18 years of age for voluntary military service for men...
`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	250 Kosovo (NATO/KFOR); up to 300 Latvia (NATO); 190...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	250.0
`military_note_text`	military_note_text	string	0%	1	the Polish Armed Forces are responsible for defense of...
`military_note_numeric`	military_note_numeric	float	0%	1	2010.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

POL OpenFactBook - People And Society — 1 rows, 127 columns

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Field details — 140 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	38746310.0
`population_male_numeric`	Population male	float	SEL	0%	1	18441415.0
`population_female_numeric`	Population female	float	SEL	0%	1	20304895.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	14.2
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	65.9
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	19.8
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	51.6
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	21.6
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	30.1
`median_age_total_numeric`	Median age	float	SEL	0%	1	43.4
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.98
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	8.03
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	11.56
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-6.26
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	60.2
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	-0.16
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.06
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.91
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	2.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	4.6
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	76.7
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.33
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.65
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	4.03
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	6.1
`country_code`	Country code	string	SEL	0%	1	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (112) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	38,746,310 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	18,441,415
`population_female_text`	population_female_text	string	0%	1	20,304,895
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	14.2% (male 2,830,048/female 2,676,300)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	65.9% (male 12,513,402/female 13,036,977)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	19.8% (2024 est.) (male 3,097,965/female 4,591,618)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	51.6 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	21.6 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	30.1 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	3.3 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	3.3
`median_age_total_text`	median_age_total_text	string	0%	1	43.4 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	41.5 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	41.5
`median_age_female_text`	median_age_female_text	string	0%	1	44.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	44.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.98% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	8.03 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	11.56 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-6.26 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	population concentrated in the southern area around...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	60.2% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	-0.16% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	1.798 million WARSAW (capital), 769,000 Krakow (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	1.798
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.06
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.96 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.96
+82 more extension fields — download the CSV/Parquet to see them all.

POL OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 34 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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	-
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	-
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	-
`composition_ethnicity_primary_label_synth`	Polish	string	CCL	0%	-	Polish

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 70.7%, refused to answer 20.9%, no...
`religions_numeric`	religions_numeric	float	0%	1	70.7
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

Pending (23) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	70.7
`composition_religion_refused_to_answer_pct_synth`	refused to answer	numeric	0%	-	20.9
`composition_religion_no_religion_less_than_1_percent_orthodox_pct_synth`	no religion ; less than 1 percent: Orthodox	numeric	0%	-	6.9
`composition_religion_jehovah_witness_pct_synth`	Jehovah Witness	numeric	0%	-	-
`composition_religion_evangelic_of_augsburg_pct_synth`	Evangelic of Augsburg	numeric	0%	-	-
`composition_religion_greek_catholic_pct_synth`	Greek Catholic	numeric	0%	-	-
`composition_religion_pentecostal_pct_synth`	Pentecostal	numeric	0%	-	-
`composition_religion_other_protestant_pct_synth`	other Protestant	numeric	0%	-	-
`composition_religion_not_stated_pct_synth`	not stated	numeric	0%	-	-
`composition_religion_old_catholic_mariavite_church_pct_synth`	old Catholic Mariavite Church	numeric	0%	-	-
`composition_religion_other_christians_pct_synth`	other Christians	numeric	0%	-	-
`composition_religion_islam_pct_synth`	Islam	numeric	0%	-	-
`composition_religion_polish_catholic_church_pct_synth`	Polish Catholic Church	numeric	0%	-	-
`composition_religion_baptist_union_of_poland_pct_synth`	Baptist Union of Poland	numeric	0%	-	-
`composition_religion_pagan_pct_synth`	Pagan	numeric	0%	-	-
`composition_religion_seventh_day_adventist_pct_synth`	Seventh Day Adventist	numeric	0%	-	-
`composition_religion_other_catholic_pct_synth`	other Catholic	numeric	0%	-	-
`composition_ethnicity_polish_pct_synth`	Polish	numeric	0%	-	96.9
`composition_ethnicity_silesian_pct_synth`	Silesian	numeric	0%	-	1.1
`composition_ethnicity_german_pct_synth`	German	numeric	0%	-	0.2
`composition_ethnicity_ukrainian_pct_synth`	Ukrainian	numeric	0%	-	0.1
`composition_ethnicity_other_and_unspecified_pct_synth`	other and unspecified	numeric	0%	-	1.7
`composition_ethnicity_primary_share_pct_synth`	Polish	numeric	0%	-	96.9

POL OpenFactBook - Space — 1 rows, 8 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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	Polish Space Agency (POLSA; established 2014;...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2014.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	builds satellites, including nano/cube remote sensing...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	300.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1978 - first Polish astronaut in space on Soviet...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1978.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

POL 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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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	Islamic State of Iraq and ash-Sham (ISIS)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

POL OpenFactBook - Transnational Issues — 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	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1	major precursor-chemical producer (2025)
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

POL OpenFactBook - Transportation — 1 rows, 27 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
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	SP
`airports_numeric`	Airports count	float	SEL	0%	1	318.0
`country_code`	Country code	string	SEL	0%	1	POL
`country_name`	Country name	string	SEL	0%	1	Poland
`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
`airports_text`	airports_text	string	0%	1	318 (2025)
`heliports_text`	heliports_text	string	0%	1	16 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	16.0
`railways_total_text`	railways_total_text	string	0%	1	19,461 km (2020) 11,946 km electrified
`railways_total_numeric`	railways_total_numeric	float	0%	1	19461.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	152 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	152.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 6, oil tanker 6, other 140
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	6.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	10 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	10.0
`ports_large_text`	ports_large_text	float	0%	1	2
`ports_large_numeric`	ports_large_numeric	float	0%	1	2.0
`ports_medium_text`	ports_medium_text	float	0%	1	2
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	2.0
`ports_small_text`	ports_small_text	float	0%	1	4
`ports_small_numeric`	ports_small_numeric	float	0%	1	4.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	2
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	2.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	5
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	5.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Gdansk, Gdynia, Port Polnochny, Szczecin
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	europe/pl.json

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

16 rows · 1 table(s) · 2022 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)

POL Mobility by Region — 16 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	PL, PL, PL, PL, PL
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	POL, POL, POL, POL, POL

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	16	3.43, 3.74, -0.22, -1.04, 1.66
`grocery`	grocery	float	0%	16	14.84, 11.72, 12.77, 9.23, 10.84
`parks`	parks	float	0%	16	8.09, 9.57, 9.71, 12.41, 5.74
`transit`	transit	float	0%	16	-2.95, 5.45, -3.29, -3.95, -3.21
`workplaces`	workplaces	float	0%	16	-9.35, -6.98, -11.87, -14.02, -8.57
`residential`	residential	float	0%	15	2.97, 2.29, 3.57, 3.37, 1.75
`region`	region	string	0%	16	Greater Poland Voivodeship, Kuyavian-Pomeranian...
`observation_count`	observation_count	integer	0%	16	34738, 22650, 22249, 29831, 23644

POL Ethnic Power Relations Dataset POL-EPR Political Ethnicity

6 rows · 1 table(s) · 2021 Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 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)

POL EPR - Groups — 6 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	POL, POL, POL, POL, POL
`ethnic_group_name`	Ethnic group name	string	CCL	0%	6	Poles, Ukrainians, Germans, Byelorussians, Roma
`ethnic_power_status`	Ethnic power status	string	CCL	0%	3	MONOPOLY, IRRELEVANT, POWERLESS, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	5	0.96, 0.01, 0.007, 0.007, 0.001
`ethnic_group_id`	Ethnic group id	float	CCL	0%	6	29001000, 29003000, 29002000, 29004000, 29006000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	, false, false, false, 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, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , , ,

POL Global Organized Crime Index POL-OCINDEX Crime Index

1 rows · 1 table(s) · 2025 GI-TOC / ENACT 0 1 2 3 13 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 — 1 table(s)

POL Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 139 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	CCL	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	CCL	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	CCL	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	CCL	0%	1	-
`oc_criminality`	oc_criminality	numeric	CCL	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	CCL	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	CCL	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	CCL	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	CCL	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	CCL	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	CCL	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	CCL	0%	1	-
`oc_resilience`	oc_resilience	numeric	CCL	0%	1	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	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_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_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	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_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1	-
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1	-
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1	-
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1	-

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	POL
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	20
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	float	0%	1	6.5
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	integer	0%	1	7
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	106
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	float	0%	1	4.5
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	float	0%	1	3.5
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	76
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	float	0%	1	5.5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	float	0%	1	5.5
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	75
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	integer	0%	1	5
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	float	0%	1	4.5
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	142
`oc_criminal_actors_2023`	oc_criminal_actors_2023	integer	0%	1	4
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	3.63
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	89
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	4.97
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	4.4
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	74
`oc_criminal_networks_2023`	oc_criminal_networks_2023	integer	0%	1	6
`oc_criminal_networks_2021`	oc_criminal_networks_2021	float	0%	1	5.5
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	123
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	4.48
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	4.01
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	50
+74 more pending fields — download the CSV/Parquet to see them all.

POL World Values Survey POL-WVS Attitudes Values

1 rows · 1 table(s) · 2022 World Values Survey 0 1 2 3 1 SEL 25 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)

POL WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	POL

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Polish (pol)	875	54.3%	—
English (eng)	361	22.4%	—
German (deu)	227	14.1%	—
Russian (rus)	69	4.3%	Cyrillic
Ukrainian (ukr)	27	1.7%	Cyrillic
Lithuanian (lit)	14	0.9%	—
Belarusian (bel)	13	0.8%	Cyrillic
Czech (ces)	8	0.5%	—
+ 9 further languages (16 names, each under 0.05%)

Source	Type	Access
GUS (Statistics Poland) — Powiaty	nso	api
GUS (Statistics Poland) — Gminy	nso	api
GUS (Statistics Poland) — Voivodeships	nso	api
HDX (Humanitarian Data Exchange)	international_organization	bulk_download
World Values Survey	academic	metadata_catalog
Ethnic Power Relations Dataset	academic	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
Google	commercial	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Global Data Lab	academic	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download