This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.
This layer is sourced from maps.bts.dot.gov.
https://www.virginia-demographics.com/terms_and_conditionshttps://www.virginia-demographics.com/terms_and_conditions
A dataset listing Virginia cities by population for 2024.
https://www.washington-demographics.com/terms_and_conditionshttps://www.washington-demographics.com/terms_and_conditions
A dataset listing Washington cities by population for 2024.
https://www.oregon-demographics.com/terms_and_conditionshttps://www.oregon-demographics.com/terms_and_conditions
A dataset listing Oregon cities by population for 2024.
https://www.wisconsin-demographics.com/terms_and_conditionshttps://www.wisconsin-demographics.com/terms_and_conditions
A dataset listing Wisconsin cities by population for 2024.
https://www.colorado-demographics.com/terms_and_conditionshttps://www.colorado-demographics.com/terms_and_conditions
A dataset listing Colorado cities by population for 2024.
In 2023, the largest city in Czechia was its capital, Prague, with a population of more than 1.3 million. Together with Brno and Ostrava, these were the only three cities with more than 200,000 people.
https://www.utah-demographics.com/terms_and_conditionshttps://www.utah-demographics.com/terms_and_conditions
A dataset listing Utah cities by population for 2024.
https://www.indiana-demographics.com/terms_and_conditionshttps://www.indiana-demographics.com/terms_and_conditions
A dataset listing Indiana cities by population for 2024.
https://www.georgia-demographics.com/terms_and_conditionshttps://www.georgia-demographics.com/terms_and_conditions
A dataset listing Georgia cities by population for 2024.
https://www.newyork-demographics.com/terms_and_conditionshttps://www.newyork-demographics.com/terms_and_conditions
A dataset listing New York cities by population for 2024.
https://www.louisiana-demographics.com/terms_and_conditionshttps://www.louisiana-demographics.com/terms_and_conditions
A dataset listing Louisiana cities by population for 2024.
https://www.newmexico-demographics.com/terms_and_conditionshttps://www.newmexico-demographics.com/terms_and_conditions
A dataset listing New Mexico cities by population for 2024.
In 2022, in terms of population, the biggest cities or municipalities in Belgium were Antwerp, Ghent, Charleroi, Liège, and Brussels. The Flemish cities of Antwerp and Ghent were the most populated in Belgium in 2022. From a regional perspective, out of the 6.8 million people living in Flanders, around 800,000 people lived in one of these two cities. However, the region of Wallonia also had large cities such as Charleroi and Liège. For instance, both cities registered around 200,000 inhabitants each. To put all these numbers into perspective, Belgium’s population amounted to 11.6 million in 2022.
Belgium’s capital city: Brussels
Surprisingly, the Belgian capital, Brussels, was not on top of the list. The reason for this is in the way the city’s population is measured. Brussels is made of 19 municipalities. In this ranking, for instance, only three of them are listed: Brussels City, Schaerbeek, and Anderlecht. These 19 municipalities form the heart of the agglomeration of Brussels which counts 36 municipalities in total and is also known as “le Grand Bruxelles”. In 2019, over a million people were living in this Brussels-Capital Region. The agglomeration of Brussels is the most populated in the country, it is bigger than the agglomeration of Antwerp. Yet in terms of municipalities, Antwerp was the most populated in Belgium in 2020.
Belgium’s five big agglomerations
Belgium faced a population growth of 0.58 percent in 2020. The country counts five big agglomerations: Antwerp, Brussels, Charleroi, Ghent, and Liège. Although the notion of agglomeration is very fluid and disputed, each of these five agglomerations represents a significant part of the population. For some, agglomerations are defined by the continuity of constructions. For others, they are defined by the sense of an urban entity shared by a living community. Nonetheless, the definition of an agglomeration in Belgium corresponds to the European rules. These rules fix the technical specifications regarding the population and housing census. An agglomeration is, therefore, a group of municipalities which includes a continuously built-up zone with no cut of more than 200 meters between two constructions.
In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.
In 2022, the average number of people per household in the city of Bnei Brak in Israel was 4.37. This city topped the list of people per household among large cities in Israel (200,000 or more people). In comparison, the national average number of people per household was 3.19, which put Bnei Brak, a city with a predominantly Orthodox Jewish population. The city of Tel Aviv-Yafo ends the list with an average of 2.21 persons per household.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Chicago population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Chicago across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Chicago was 2.66 million, a 0.31% decrease year-by-year from 2022. Previously, in 2022, Chicago population was 2.67 million, a decline of 1.16% compared to a population of 2.7 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Chicago decreased by 231,271. In this period, the peak population was 2.9 million in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Chicago Population by Year. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the San Jose metro area from 1950 to 2025.
This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.
description: The Community Development Block Grant (CDBG) program is a flexible program that provides communities with resources to address a wide range of unique community development needs. Beginning in 1974, the CDBG program is one of the longest continuously run programs at HUD. The CDBG program provides annual grants on a formula basis to of local and state governments. The annual CDBG appropriation is allocated between States and local jurisdictions called non - entitlement and entitlement communities respectively. Entitlement communities are comprised of the principal cities of Metropolitan Statistical Areas; metropolitan cities with populations of at least 50,000; and qualified urban counties with a population of 200,000 or more (excluding the populations of entitlement cities). States distribute CDBG funds to non-entitlement localities not qualified as entitlement communities. HUD determines the amount of each grant by using a formula comprised of several measures of community need, including the extent of poverty, population, housing overcrowding, age of housing, and population growth lag in relationship to other metropolitan areas.; abstract: The Community Development Block Grant (CDBG) program is a flexible program that provides communities with resources to address a wide range of unique community development needs. Beginning in 1974, the CDBG program is one of the longest continuously run programs at HUD. The CDBG program provides annual grants on a formula basis to of local and state governments. The annual CDBG appropriation is allocated between States and local jurisdictions called non - entitlement and entitlement communities respectively. Entitlement communities are comprised of the principal cities of Metropolitan Statistical Areas; metropolitan cities with populations of at least 50,000; and qualified urban counties with a population of 200,000 or more (excluding the populations of entitlement cities). States distribute CDBG funds to non-entitlement localities not qualified as entitlement communities. HUD determines the amount of each grant by using a formula comprised of several measures of community need, including the extent of poverty, population, housing overcrowding, age of housing, and population growth lag in relationship to other metropolitan areas.
This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.
This layer is sourced from maps.bts.dot.gov.