The largest city in Poland in terms of population was the capital, ******, in 2023, 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 2023, 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.; ;

Dataset containing distance data from every medium size city in Poland to closest one large city and metropolis

Population in the largest city (% of urban population) in Poland was reported at 8.2046 % 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 June of 2025.

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 July of 2025.

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;

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

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.

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

In 2024, for the majority of Poles, air pollution was the biggest problem for cities in Poland. Too little greenery and an excess of sidewalks and roadways followed. Only ***** percent said that there were no problems.

In 2024, Poznań had the most parking spaces in relation to its population of all cities with more than ******* inhabitants in Poland. There were almost * parking spaces per 1,000 inhabitants. The Polish capital Warszawa (Warsaw) had the most parking spaces in absolute terms with *****, while Wrocław had the most parking garages with **. The worst parking situation for people was in Lublin, where there were only *** parking spaces, which amounted to *** parking spaces per 1,000 residents.

About this dataset

Context

The dataset tabulates the Poland town median household income by race. The dataset can be utilized to understand the racial distribution of Poland town income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Poland Town, New York median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Poland Town, New York (2021, in 2022 inflation-adjusted dollars)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Poland town median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Poland town household income by gender. The dataset can be utilized to understand the gender-based income distribution of Poland town income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Poland, Maine annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Poland, Maine annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Poland town income distribution by gender. You can refer the same here

In 2024, the ****** agglomeration was the largest retail market in Poland. Its total retail area was over *** million square meters of Gross Leasable Area (GLA).

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

About this dataset

Context

The dataset tabulates the population of Poland town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Poland town. The dataset can be utilized to understand the population distribution of Poland town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Poland town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Poland town.

Key observations

Largest age group (population): Male # 50-54 years (86) | Female # 55-59 years (111). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Poland town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Poland town is shown in the following column.
• Population (Female): The female population in the Poland town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Poland town for each age group.

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 Gender. 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.

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.