Poland

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

3,800 rows · 1 table(s) 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

380 rows · 1 table(s) 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) 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) 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) 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) 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 - 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) 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) 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) 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) 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) Global Data Lab 0 1 2 3 9 SEL 2 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 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) 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) 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 - 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 UNHCR Refugee Data Finder POL-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

POL UNHCR - Hosted Populations — 75 rows, 24 columns

Loading data…

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 — 75 rows, 24 columns

Loading data…

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 World Bank Open Data POL-WORLD_BANK Development Indicators

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

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0 Admin 0 — 2 table(s)

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

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

Standards-Aligned Fields (7)

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

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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 LandScan Global (ORNL) POL-LANDSCAN Modeled Population

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

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

0 Admin 0 — 1 table(s)

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) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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

Locality Locality — 1 table(s)

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) 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) 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) 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, 22 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	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, 156 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, 60 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, 9 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 57 columns

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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, 124 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, 7 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 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
`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, 27 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, 140 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, 34 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, 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	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, 7 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 29 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) 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) 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) GI-TOC / ENACT 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 Organized Crime Scores 2025 — 1 rows, 35 columns

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

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

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

POL World Values Survey POL-WVS Attitudes Values

1 rows · 1 table(s) 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