The largest city in Poland in terms of population was the capital, ******, in 2024, with more than **** million inhabitants. Kraków and Wrocław followed it.

This statistic shows the biggest cities in Poland in 2023. In 2023, approximately **** million people lived in Warsaw, making it the biggest city in Poland.

The largest city in Poland in terms of area was Gdańsk in 2024, with *** square kilometers. Followed by the capital, Warsaw, and Gdynia.

Poland PL: Population in Largest City data was reported at 1,758,551.000 Person in 2017. This records an increase from the previous number of 1,749,352.000 Person for 2016. Poland PL: Population in Largest City data is updated yearly, averaging 1,618,666.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,758,551.000 Person in 2017 and a record low of 1,119,181.000 Person in 1960. Poland PL: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

Population in largest city in Poland was reported at 1799451 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Poland - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Population in the largest city (% of urban population) in Poland was reported at 8.1595 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Poland - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

In the observed period, the average temperature among the ten biggest cities in Poland increased. Wrocław had the highest average temperature, reaching over 11 degrees Celsius in 2023.

Poland PL: Population in Largest City: as % of Urban Population data was reported at 7.704 % in 2017. This records an increase from the previous number of 7.656 % for 2016. Poland PL: Population in Largest City: as % of Urban Population data is updated yearly, averaging 7.389 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.885 % in 1960 and a record low of 6.959 % in 1995. Poland PL: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

During the observed period, the average daily rates of hotels in major Polish cities increased. The highest ADR was recorded in TriCity, Poland, at 437 zloty, and the lowest in Poznan, at 331.8 zloty.

Of the Polish cities with more than ******* inhabitants, Wrocław had the lowest number of traffic accidents in 2023 with only *** accidents per 1,000 inhabitants, which meant a total of ***** accidents for the year. The capital city of Warsaw recorded the highest total number of collisions with almost ****** accidents, while Lublin had the highest rate with almost ** collisions per 1,000 residents. The number of incidents is one of the most important indicators when it comes to traffic safety.

The data is in the form of tables with lists of cemeteries established in the major Polish cities, with information about the date of the cemetery establishment, the date of closing and cemetery decommission, and the current state of the cemetery. For cemeteries in Gdansk and Wroclaw, there is additional information about the area of the cemetery and the current land use.

About this dataset

Context

The dataset tabulates the Poland town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Poland town. The dataset can be utilized to understand the population distribution of Poland town by age. For example, using this dataset, we can identify the largest age group in Poland town.

Key observations

The largest age group in Poland Town, New York was for the group of age 40 to 44 years years with a population of 173 (8.85%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Poland Town, New York was the 85 years and over years with a population of 33 (1.69%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Poland town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Poland town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Poland town Population by Age. You can refer the same here

The total area of shopping centers in Poland in 2024 amounted to over **** million square meters. Warsaw had the largest shopping center area, around *** million square meters.

About this dataset

Context

The dataset tabulates the population of Poland town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Poland town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.38% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Poland town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Poland town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Poland town Population by Race & Ethnicity. You can refer the same here

The tropospheric NO2 column from Sentinel-5P/TROPOMI (2018–2020) and Aura/OMI (2010–2020) over Poland, notably for 7 major Polish cities, was used to assess the annual variability and the COVID-19 lockdown effect. On a national scale, during lockdown (March–June 2020), strong sources of pollution were found in Katowice and Warszawa, as well as at the power plant in Bełchatów. A gradual drop in OMI NO2 values between March and June was found for all cities and the entire domain of Poland, this being a part of the annual NO2 cycle derived for every year from 2010 to 2020. In fact, the gradual drop of NO2 in the lockdown year was within the typical monthly and annual variability. In March 2020, Kraków showed the highest NO2 reduction rate. A reduction of NO2 was observed in Gdańsk, Wrocław, and Warszawa during every month of the lock-down period. Several factors, including wind speed and direction, temperature, and increased emission sources, can limit the dispersion and removal of NO2. Although meteorological conditions have a significant impact on the annual cycle of NO2 in Poland, it is important to note that anthropogenic emissions remain the primary driver of NO2 concentrations. Therefore, the study concludes that the effect of COVID-19 restrictions on NO2 pollution was negligible and clarifies the current understanding of the COVID-19 effect over Poland, with an emphasis on hotspots in the major Polish cities and their vicinity. This is consistent with our understanding that the reduction of NO2 pollution is seen in cities due to reduced traffic (domestic, municipal, and airborne).

About this dataset

Context

The dataset tabulates the Poland town Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Poland town, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Poland town.

Key observations

Among the Hispanic population in Poland town, regardless of the race, the largest group is of Puerto Rican origin, with a population of 21 (45.65% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Poland town
• Population: The population of the specific origin for Hispanic or Latino population in the Poland town is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Poland town total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Poland town Population by Race & Ethnicity. You can refer the same here

In 2024, the largest share of the office real estate market was held by Warsaw, which covered nearly **** of the office market in Poland. Krakow followed it with a ** percent market share.

The included database is part of a larger research program entitled "Retrieving the Lost History: Role of Social Memory of Place in Identity Formation," led by Lewicka (grant from the National Science Centre OPUS NCN Nr 2011/03/B/HS6/03320). The study was conducted in 2015 in six Polish cities (Bialystok – n = 410, Krakow – n = 414, Lodz – n = 400, Olsztyn - n = 402, Poznan - n = 401, Wroclaw - n = 401) using the CAPI method. The participants in the study were randomly selected. The total overall sample size was N = 2428. The database consists of multiple variables that can be grouped as follows: - Sociodemographic variables (e.g., age, gender, education, voivodeship, standard of living, place of interview, length of residency in the city)- Place Attachment Scale. A five-item place attachment scale (e.g., “I miss this place when I am not there for a long time”; “This place is part of me”; Lewicka, 2010). Participants expressed their agreement with Likert’s scale items from 1 (completely disagree) to 5 (completely agree). The scale had satisfactory reliability (α = .76) (variables: PAS1 to PAS5) - Lay Theories of History. A 9-item scale designed to identify three different lay theories of history (Wójcik & Lewicka, 2022): historical realism (three items; e.g., “In history, the most important thing is to know the truth about the past”; “We should even remember those historical events that today may give rise to conflicts and disputes”, α = .71), historical instrumentalism (three items; e.g., “Sometimes, it is better to remain silent about certain historical events in order not to weaken the image of our nation”; “Knowledge of the past should be communicated in such a way that it serves the interests of our nation today”; α = .65 ), and historical relativism (three items; e.g., “The past can never be fully understood”; “We will never know the real course of many historical events”; α = .50). Participants expressed their agreement on a 7-point Likert’s scale. (variables: LTH1 to LTH9) - Perceived National Group and City Continuity. Sani’s shortened 8-item Perceived Collective Continuity Scale adapted to the Polish context. The scale was applied twice, to the perceived continuity of the country (Poland) and in a shorter, 6-item, version – to the perceived continuity of one’s city. The reliability of the two scales was α = .72 and α = .76. Participants expressed their agreement with the scale items from 1 (completely disagree) to 5 (completely agree). (variables: PCC1 to PCC8 for national group continuity and PC1 to PC9 for place/city continuity) -Interest in Local History. A 10-item Interest in Local History Scale (Lewicka, 2012) that consisted of two subscales: interest in history (e.g., “I am interested in the history of my city”; “I like to read about the past of my city”) and focus on the present (e.g., “Sometimes it is better to pull down an old building than to invest enormous money in its renovation”; “If I were the city president, I would destroy some old buildings and make space for modern and future-oriented architecture”). Participants expressed their agreement with the scale items from 1 (completely disagree) to 7 (completely agree). The respective reliabilities were α = .79 and .69 (variables: ILH1 to ILH10) -National Identity: Attachment Versus Glorification. A shortened 9-item National Identity Scale (Roccas et al., 2006), with two subscales: attachment to country and glorification of country. Reliabilities of the two subscales were α = .86 and α = .78. Participants expressed their agreement with the scale items from 1 (completely disagree) to 7 (completely agree) (variables: N1 to N9) -Need for Cognition. An abbreviated version of the 7-item Need for Cognition Scale (Caccioppo & Petty, 1982) that was translated into Polish and adapted to the Polish context (Matusz et al., 2011). Participants expressed their agreement with items on a 5-point scale (e.g., “I like to solve puzzles”; “I can spend many hours reflecting on an intellectual problem”). The reliability of this scale was satisfactory (α = .70) (variables: NFC1 to NFC7) -Nostalgia: Restorative Versus Reflective. Nostalgia was measured with the abbreviated 13-item version (Prusik & Lewicka, 2010) of 31-item nostalgia scale by Havlena & Holak (2000). Restorative nostalgia was covered by five items (e.g., “I miss the good

Adaptation planning in Polish cities has been optional and has focused mainly on the largest cities with more than 100,000 residents. The enactment of the Act of November 27, 2024, amending the Law – Environmental Protection Law and certain other laws, introduces an obligation for all cities with 20,000 residents and more to have a climate change adaptation plan. The question arises: Will the new planning obligation pose a major challenge for cities in the province? This study examined the status of climate change adaptation planning in all 119 cities in the Wielkopolska Province. The material for the study consisted of resolutions of City Councils published on the official websites of City Offices or in the Public Information Bulletin from 01.01.2015 to 30.06.2025 on climate change adaptation planning. The obligation to have a municipal climate change adaptation plan (MPA) by January 2, 2028, applies to 17 cities (according to the population as of 31.12.2024), which accounts for 14% of all cities in the Wielkopolska Province. In this group, the two largest cities – Poznań and Kalisz – have a municipal adaptation plan enacted in accordance with the Act of November 27, 2024, another 14 cities have an adaptation document prepared or are in the process of preparing one, and one city has not started the procedure for preparing a plan. Making it mandatory to have a municipal adaptation plan has significantly increased the number of cities starting to prepare MPAs. However, making adaptation planning dependent on city size perpetuates the existing relationship between city size and the advancement of climate change adaptation planning. A declining urban population may reduce the number of cities in the province required to have a municipal adaptation plan.

Poland House Prices: per Square Meter: Primary Market: Transaction: 7 Cities data was reported at 14,264.650 PLN in Dec 2024. This records an increase from the previous number of 14,060.779 PLN for Sep 2024. Poland House Prices: per Square Meter: Primary Market: Transaction: 7 Cities data is updated quarterly, averaging 6,809.243 PLN from Sep 2006 (Median) to Dec 2024, with 74 observations. The data reached an all-time high of 14,264.650 PLN in Dec 2024 and a record low of 3,590.503 PLN in Sep 2006. Poland House Prices: per Square Meter: Primary Market: Transaction: 7 Cities data remains active status in CEIC and is reported by Narodowy Bank Polski. The data is categorized under Global Database’s Poland – Table PL.EB008: House Price.