This dataset provides a comprehensive overview of the population statistics for 800 largest cities in the world, detailing the population estimates for the years 2023 and 2024. Additionally, it includes the calculated growth rate for each city over this period. This dataset can be instrumental for urban studies, demographic analysis, and economic research. Columns Description • City: The name of the city. • Country: The country where the city is located. • Population (2024): Estimated population of the city for the year 2024. • Population (2023): Estimated population of the city for the year 2023. • Growth Rate: The rate of population growth from 2023 to 2024. This is calculated as the difference between the 2024 and 2023 populations, divided by the 2023 population.

About this dataset

Context

The dataset tabulates the Jersey City 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 Jersey City 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 Jersey City was 291,657, a 0.65% increase year-by-year from 2022. Previously, in 2022, Jersey City population was 289,772, an increase of 1.64% compared to a population of 285,105 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Jersey City increased by 51,565. In this period, the peak population was 291,949 in the year 2020. 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Jersey City is shown in this column.
• Year on Year Change: This column displays the change in Jersey City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Jersey City Population by Year. You can refer the same here

This dataset provides detailed information about the population of all the 300 US Cities for the years 2024 and 2020. It includes the annual population change, population density, and the area of all the US cities.

World Cities Population

The "world_cities.csv" dataset is a concise yet powerful collection of population data for 801 major cities around the world. It provides essential insights into urban population dynamics for the years 2023 and 2024, along with growth rates, making it invaluable for urban planners, researchers, and policymakers.

Key Features Global Scope: Covers cities from various countries and continents. Temporal Data: Includes population figures for 2023 and 2024. Growth Analysis: Offers growth rates to highlight population trends. Column Descriptions City: Name of the city. Rank: Country where the city is located. 2024_population: Estimated population in 2024. 2023_population: Population in 2023. Growth_rate: Percentage change in population from 2023 to 2024.

About this dataset

Context

The dataset tabulates the St. Louis city 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 St. Louis city 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 St. Louis city was 281,754, a 1.55% decrease year-by-year from 2022. Previously, in 2022, St. Louis city population was 286,193, a decline of 2.53% compared to a population of 293,622 in 2021. Over the last 20 plus years, between 2000 and 2023, population of St. Louis city decreased by 65,183. In this period, the peak population was 346,937 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the St. Louis city is shown in this column.
• Year on Year Change: This column displays the change in St. Louis city population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 St. Louis city Population by Year. You can refer the same here

United States US: Urban Population Growth data was reported at 0.952 % in 2017. This records a decrease from the previous number of 0.968 % for 2016. United States US: Urban Population Growth data is updated yearly, averaging 1.152 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.449 % in 1960 and a record low of 0.927 % in 1974. United States US: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

Graph and download economic data for Resident Population in Baltimore City, MD (MDBALT5POP) from 1970 to 2024 about Baltimore City, MD; Baltimore; MD; residents; population; and USA.

This dataset contains city population yearly time series for female and male, and for both genders, collected by the United Nations Statistics Division and published by UNData.

In 2023, the population of the Salt Lake City metropolitan area in the United States was about 1.27 million people. This represented a slight increase when compared to the previous year.

About this dataset

Context

The dataset tabulates the Yuba City 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 Yuba City 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 Yuba City was 68,666, a 0.80% decrease year-by-year from 2022. Previously, in 2022, Yuba City population was 69,223, a decline of 0.73% compared to a population of 69,735 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Yuba City increased by 17,588. In this period, the peak population was 70,084 in the year 2020. 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Yuba City is shown in this column.
• Year on Year Change: This column displays the change in Yuba City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Yuba City Population by Year. You can refer the same here

In 2020, about 82.66 percent of the total population in the United States lived in cities and urban areas. As the United States was one of the earliest nations to industrialize, it has had a comparatively high rate of urbanization over the past two centuries. The urban population became larger than the rural population during the 1910s, and by the middle of the century it is expected that almost 90 percent of the population will live in an urban setting. Regional development of urbanization in the U.S. The United States began to urbanize on a larger scale in the 1830s, as technological advancements reduced the labor demand in agriculture, and as European migration began to rise. One major difference between early urbanization in the U.S. and other industrializing economies, such as the UK or Germany, was population distribution. Throughout the 1800s, the Northeastern U.S. became the most industrious and urban region of the country, as this was the main point of arrival for migrants. Disparities in industrialization and urbanization was a key contributor to the Union's victory in the Civil War, not only due to population sizes, but also through production capabilities and transport infrastructure. The Northeast's population reached an urban majority in the 1870s, whereas this did not occur in the South until the 1950s. As more people moved westward in the late 1800s, not only did their population growth increase, but the share of the urban population also rose, with an urban majority established in both the West and Midwest regions in the 1910s. The West would eventually become the most urbanized region in the 1960s, and over 90 percent of the West's population is urbanized today. Urbanization today New York City is the most populous city in the United States, with a population of 8.3 million, while California has the largest urban population of any state. California also has the highest urbanization rate, although the District of Columbia is considered 100 percent urban. Only four U.S. states still have a rural majority, these are Maine, Mississippi, Montana, and West Virginia.

Actual value and historical data chart for Mexico Urban Population Growth Annual Percent

About this dataset

Context

The dataset tabulates the Traverse City 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 Traverse City 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 Traverse City was 15,707, a 0.19% increase year-by-year from 2022. Previously, in 2022, Traverse City population was 15,677, an increase of 0.35% compared to a population of 15,622 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Traverse City increased by 1,237. In this period, the peak population was 15,715 in the year 2019. 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Traverse City is shown in this column.
• Year on Year Change: This column displays the change in Traverse City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Traverse City Population by Year. You can refer the same here

Exploring City Population Data of Bangladesh

The dataset contains comprehensive information about various cities in Bangladesh, including their population statistics across different years. Analyzing this dataset offers valuable insights into the demographic trends, urban development, and population dynamics within Bangladesh.

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Dataset Overview:

Source: The data was scraped from the webpage https://www.citypopulation.de/en/bangladesh/cities/ & https://en.wikipedia.org/wiki/Districts_of_Bangladesh **Content: **The dataset contains information about cities in Bangladesh, including their names, population, and other relevant demographic data. **Format: **The data is presented in a tabular format within an HTML table on the webpage.

• Cities: The dataset encompasses a diverse range of cities across Bangladesh, representing different regions, sizes, and administrative statuses.
• Population Trends: Population data is provided for multiple years, spanning from 1991 to 2022. This allows for a longitudinal analysis of population growth, migration patterns, and urbanization trends over time.
• Geographical Information: In addition to population statistics, the dataset includes details about the geographical area of each city in square kilometers, providing context for population density and spatial distribution.
• City Status: The dataset categorizes cities based on their administrative status, such as urban, rural, or special administrative regions, offering insights into the urban-rural divide and administrative structures within Bangladesh.
• Native Names: Native or local names of cities are included, reflecting the linguistic and cultural diversity of Bangladesh.
• Administrative Divisions: Information about the division to which each city belongs is included, offering insights into the administrative structure of Bangladesh.

Fields: The dataset likely includes fields such as:

1. Name: The official name of the city as recognized by administrative authorities.
2. Abbr.: The abbreviation or short form of the city name, often used for convenience or in informal contexts.
3. Division: The administrative division to which the city belongs.
4. Established: The status or classification of the city, indicating whether it is urban, rural, or possibly a special administrative region.
5. Native: The native or local name of the city, which may differ from the official name and is often used by residents.
6. Area (km2): The total land area of the city in square kilometers, providing information about its geographical size.
7. Population_1991: The population of the city as recorded in the year 1991, serving as a historical reference point for demographic changes.
8. Population_2001: The population of the city as recorded in the year 2001, allowing for comparison with earlier and later population data.
9. Population_2011: The population of the city as recorded in the year 2011, providing insight into population trends over time.
10. Population_2022: The population of the city as recorded in the year 2022, offering recent demographic information for analysis and decision-making.

These columns collectively offer a comprehensive view of the cities in Bangladesh, encompassing their names, status, native names, geographical dimensions, and population dynamics across multiple years.

Objective:

The objective of exploring this dataset is to gain a deeper understanding of the population dynamics and urban development patterns within Bangladesh. By analyzing population trends, demographic shifts, and geographical distributions, stakeholders can make informed decisions regarding infrastructure development, resource allocation, and urban planning initiatives.

Analytical Approach:

Analyzing the dataset may involve various analytical techniques, including:

• Descriptive Statistics: Calculating summary statistics such as mean, median, and standard deviation to understand the distribution of population, area, and population density among cities.

• Time Series Analysis: Examining population trends over time to identify growth rates, patterns, and fluctuations.

• Spatial Mapping: Visualizing population density and distribution across different regions of Bangladesh using maps and geographical information systems (GIS).

• Division-wise Analysis: Comparing population dynamics and urbanization trends across different administrative divisions to understand regional variations and disparities.

By employing these analytical approaches, stakeholders can derive meaningful insights from the dataset to support evidence-based decision-making and policy formulation.

Graph and download economic data for Population Estimate, Total (5-year estimate) in Baltimore city, MD (B03002001E024510) from 2009 to 2023 about Baltimore City, MD; Baltimore; MD; estimate; 5-year; persons; population; and USA.

About this dataset

Context

The dataset tabulates the Garden City 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 Garden City 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 Garden City was 250, a 1.57% decrease year-by-year from 2022. Previously, in 2022, Garden City population was 254, a decline of 0% compared to a population of 254 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Garden City decreased by 100. In this period, the peak population was 350 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Garden City is shown in this column.
• Year on Year Change: This column displays the change in Garden City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Garden City Population by Year. You can refer the same here

Argentina AR: Urban Population Growth data was reported at 0.413 % in 2023. This records an increase from the previous number of 0.339 % for 2022. Argentina AR: Urban Population Growth data is updated yearly, averaging 1.629 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 2.475 % in 1961 and a record low of 0.339 % in 2022. Argentina AR: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Weighted average;

This statistic shows the twenty countries with the projected largest urban populations worldwide in 2050. Forecasts estimate that the urban population of China will be **** billion people in 2050.

Bolivia BO: Urban Population Growth data was reported at 1.875 % in 2023. This records an increase from the previous number of 1.667 % for 2022. Bolivia BO: Urban Population Growth data is updated yearly, averaging 2.864 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 4.616 % in 1978 and a record low of 1.520 % in 2021. Bolivia BO: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Weighted average;

Vietnam VN: Urban Population Growth data was reported at 3.039 % in 2017. This records a decrease from the previous number of 3.113 % for 2016. Vietnam VN: Urban Population Growth data is updated yearly, averaging 3.174 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 5.319 % in 1960 and a record low of 2.542 % in 1988. Vietnam VN: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;