Important Note: This item is in mature support as of June 2023 and will be retired in December 2025. This map shows the estimated annual growth rate of population in the United States from 2022 to 2027 in a multiscale map by country, state, county, ZIP Code, tract, and block group. The pop-up is configured to include the following information for each geography level:2022 total population2027 total population estimate 2000-2010 annual population growth rate2010-2022 annual population growth rate2022-2027 annual projected population growth ratePermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

According to a population projection based on 2020 Census Data, in 2040, California's population will amount to ***** million inhabitants.

Important Note: This item is in mature support as of June 2023 and will be retired in December 2025. This map shows the median age of the U.S. population in 2022 in a multiscale map by country, state, county, ZIP Code, tract, and block group. In 2022, the median age of the population in the U.S. is 38 years of age.The popup is configured to include the following information for each geography level:Median age of total populationTotal population counts (by 5 year increments)Median age of male populationMale population counts (by 5 year increments)Median age of female populationFemale population counts (by 5 year increments)Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

In the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.

The 119th Congressional Districts dataset reflects boundaries from January 03, 2025 from the United States Census Bureau (USCB), and the attributes are updated every Sunday from the United States House of Representatives and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Information for each member of Congress is appended to the Census Congressional District shapefile using information from the Office of the Clerk, U.S. House of Representatives' website https://clerk.house.gov/xml/lists/MemberData.xml and its corresponding XML file. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. This dataset also includes 9 geographies for non-voting at large delegate districts, resident commissioner districts, and congressional districts that are not defined. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 119th Congress is seated from January 3, 2025 through January 3, 2027. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts reflect information provided to the Census Bureau by the states by May 31, 2024. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529006

Chart and table of population level and growth rate for the state of California from 1900 to 2024.

Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

This is the last boundary change until the next redistricting following the 2030 Census. All of the districts now reflect the 2021 Citizens Redistricting Commission(CRC) plan. The only thing that will change is the members' names and parties as elections are held, appointments are made, or party affiliations change.Senate Districts feature layer is updated as-needed and we expect to update it more regularly in the future.Schema:F2020_POP: The 2020 population of the district as reported by the census.F2020_HU: Number of housing units in the district in 2020 as reported by the census.CRC_POP: Citizen's Redistricting Commission population.District: The District is the district number.Party: The Party is the party represented.last_name: The last name is the last name of the representative.first_name: The first name is the first name of the representative.district_website: The district website is the link to the district website.For more information about the F2020_Pop and the F2020_HU visit: https://www.census.gov/programs-surveys/decennial-census/about/rdo/summary-files.html

Important Note: This item is in mature support as of June 2023 and will retire in December 2025. A new version of this item is available for your use.The layers going from 1:1 to 1:1.5M present the 2010 Census Urbanized Areas (UA) and Urban Clusters (UC). A UA consists of contiguous, densely settled census block groups (BGs) and census blocks that meet minimum population density requirements (1000 people per square mile (ppsm) / 500 ppsm), along with adjacent densely settled census blocks that together encompass a population of at least 50,000 people. A UC consists of contiguous, densely settled census BGs and census blocks that meet minimum population density requirements, along with adjacent densely settled census blocks that together encompass a population of at least 2,500 people, but fewer than 50,000 people. The dataset covers the 50 States plus the District of Columbia within United States. The layer going over 1:1.5M presents the urban areas in the United States derived from the urban areas layer of the Digital Chart of the World (DCW). It provides information about the locations, names, and populations of urbanized areas for conducting geographic analysis on national and large regional scales. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA Census Urban Areas.

There are 435 seats in the U.S. House of Representatives, of which ** are allocated to the state of California. Seats in the House are allocated based on the population of each state. To ensure proportional and dynamic representation, congressional apportionment is reevaluated every 10 years based on census population data. After the 2020 census, six states gained a seat - Colorado, Florida, Montana, North Carolina, and Oregon. The states of California, Illinois, Michigan, New York, Ohio, Pennsylvania, and West Virginia lost a seat.

The Global 15x15 Minute Grids of the Downscaled Population Based on the Special Report on Emissions Scenarios (SRES) B2 Scenario, 1990 and 2025, are geospatial distributions of the downscaled population per unit area (population densities). These global grids were generated using the Country-level Population and Downscaled Projections Based on the SRES B2 Scenario, 1990-2100 dataset, and CIESIN's Gridded Population of World, Version 2 (GPWv2) dataset as the base map. The 1990 GPW was used as the base distribution and the country-level downscaled projections were used to replace population estimates of 1990 in GPW and 2025. The fractional distribution of the population at each grid cell is the same as the 1990 GPW, sub-nationally. This dataset is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

This feature service is derived from the Esri "United States Zip Code Boundaries" layer, queried to only CA data.For the original data see: https://esri.maps.arcgis.com/home/item.html?id=5f31109b46d541da86119bd4cf213848Published by the California Department of Technology Geographic Information Services Team.The GIS Team can be reached at ODSdataservices@state.ca.gov.U.S. ZIP Code Boundaries represents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states (or equivalent areas) numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a Sectional Center Facility (SCF) or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area.As of the time this layer was published, in January 2025, Esri's boundaries are sourced from TomTom (June 2024) and the 2023 population estimates are from Esri Demographics. Esri updates its layer annually and those changes will immediately be reflected in this layer. Note that, because this layer passes through Esri's data, if you want to know the true date of the underlying data, click through to Esri's original source data and look at their metadata for more information on updates.Cautions about using Zip Code boundary dataZip code boundaries have three characteristics you should be aware of before using them:Zip code boundaries change, in ways small and large - these are not a stable analysis unit. Data you received keyed to zip codes may have used an earlier and very different boundary for your zip codes of interest.Historically, the United States Postal Service has not published zip code boundaries, and instead, boundary datasets are compiled by third party vendors from address data. That means that the boundary data are not authoritative, and any data you have keyed to zip codes may use a different, vendor-specific method for generating boundaries from the data here.Zip codes are designed to optimize mail delivery, not social, environmental, or demographic characteristics. Analysis using zip codes is subject to create issues with the Modifiable Areal Unit Problem that will bias any results because your units of analysis aren't designed for the data being studied.As of early 2025, USPS appears to be in the process of releasing boundaries, which will at least provide an authoritative source, but because of the other factors above, we do not recommend these boundaries for many use cases. If you are using these for anything other than mailing purposes, we recommend reconsideration. We provide the boundaries as a convenience, knowing people are looking for them, in order to ensure that up-to-date boundaries are available.

City of Mesa population provided by Census Bureau Population Estimates Program (PEP) updated annually as of July 1. See Population and Housing Unit Estimates. Census PEP estimates are used for state revenue sharing per AZ statute (42-5033.01). This dataset is the authoritative source for all city metrics such as Crimes or Traffic Collisions per 1,000 residents.

2025-2040 population projections provided by Maricopa County Association of Governments (MAG) and adopted June 2023. MAG's planning area and incorporated jurisdiction projections are published at 2023 MAG Socioeconomic Projections

Other sources of population estimates include US Census American Community Survey 1-year and 5-year Estimates at https://citydata.mesaaz.gov/d/n5gn-m5c3 and https://citydata.mesaaz.gov/Economic-Development/d/9nqf-ygw6, Arizona Office of Economic Opportunity (OEO) at https://www.azcommerce.com/oeo/population/population-estimates/ (see link for OEO methodology which differs slightly from official US Census Estimates) and City of Mesa Office of Economic Development at https://www.selectmesa.com/business-environment/demographics (ESRI Community Analyst).

Residential Zoned Land Tax Annual Draft Map for 2025. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).The Government’s Housing For All – A New Housing Plan for Ireland proposed a new tax to activate vacant land for residential purposes as a part of the Pathway to Increasing New Housing Supply. The Residential Zoned Land Tax was introduced by the Finance Act 2021. The dataset contains the land identified as being covered by the tax from all of the local authorities in the state. The available datasets will comprise the draft annual map, published on 1 February 2024. The draft map dataset published 1 November 2022, the supplemental map dataset published 1 May 2023 and the final map published 1 December 2023 are also available, however the annual draft map represents the most recent dataset of land identified as either being in-scope for the tax, or proposed to be removed from the map due to not meeting the criteria. The dataset will identify serviced land in cities, towns and villages which is residentially zoned and ‘vacant or idle’ mixed use land. Unless specifically identified for removal, the lands identified on the maps are considered capable of increasing housing supply as they meet the criteria for inclusion in the tax. Certain settlements will not be identified due to lack of capacity or services or due to out of date zonings. The dataset will also identify the amount in hectares of zoned serviced land for each settlement....

In 2025, the Ile-de-France region, sometimes called the Paris region, was the most populous in France. It is located in the northern part of France, divided into eight departments and crossed by the Seine River. The region contains Paris, its large suburbs, and several rural areas. The total population in metropolitan France was estimated at around ** million inhabitants. In the DOM (Overseas Department), France had more than *** million citizens spread over the islands of Guadeloupe, Martinique, Reunion, Mayotte, and the South American territory of French Guiana. Ile-de-France: the most populous region in France According to the source, more than ** million French citizens lived in the Ile-de-France region. Ile-de-France was followed by Auvergne-Rhône-Alpes and Occitanie region which is in the Southern part of the country. Ile-de-France is not only the most populated region in France, it is also the French region with the highest population density. In 2020, there were ******* residents per square kilometer in Ile-de-France compared to ***** for Auvergne-Rhône-Alpes, the second most populated region in France. More than two million people were living in the city of Paris in 2025. Thus, the metropolitan area outside the city of Paris, called the suburbs or banlieue in French, had more than ten million inhabitants. Ile-de-France concentrates the majority of the country’s economic and political activities. An urban population In 2024, the total population of France amounted to over 68 million. The population in the country has increased since the mid-2000s. As well as the other European countries, France is experiencing urbanization. In 2023, more than ** percent of the French population lived in cities. This phenomenon shapes France’s geography.

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. Countywide Statistical Areas (CSA) are current as of October 2023.

Fields ending in _yr1 were calculated for the original 2021-2022 SBLA report, while fields ending in _yr2 or without a year suffix were calculated for the 2023-2025 version. Eviction Filings per 100 (eviction_filings_per100) and Life Expectancy (life_expectancy) did not have updated data and are the same data shown in the Year 1 report.

Population and demographic data are from US Census American Community Survey (ACS) 5-year estimates, aggregated up from census tract or block group to CSA. Year 1 data are from 2020, year 2 data are from 2022.

Poverty Data (200% FPL) are from LA County ISD-eGIS Demographics. Year 1 data are from 2021, Year 2 are from 2022.

The 2023-2025 report includes several new indicators that are calculated as the percent of countywide population by race that resides in a geographic area of interest. Population for these indicators is estimated based on intersection with census block group centroids. These indicators are:

Indicator

Fields

Source

Health Professional Shortage Areas (HPSA) for Primary Care

hpsa_primary_pct hpsa_primary_black_pct

LA County DPH https://data.lacounty.gov/datasets/lacounty::health-professional-shortage-area-primary-care/about

Health Professional Shortage Areas (HPSA) for Mental Health

hpsa_mental_pct hpsa_mental_black_pct

LA County DPH https://data.lacounty.gov/datasets/lacounty::health-professional-shortage-area-mental-health/about

Concentrated Disadvantage

cd_pct cd_black_pct

LA County ISD-Enterprise GIS https://egis-lacounty.hub.arcgis.com/datasets/lacounty::concentrated-disadvantage-index-2022/explore

Firearm Dealers

firearm_dl_count (count of dealers in CSA) firearm_dl_per10000 (rate of dealers per 10,000)

LA County DPH Office of Violence Prevention (OVP)

High and Very High Park Need Areas

parks_need_pct parks_need_black_pct

LA County Parks Needs Assessment Plus (PNA+) https://lacounty.maps.arcgis.com/apps/instant/media/index.html?appid=3d0ef36720b447dcade1ab87a2cc80b9

High Quality Transit Areas

hqta_pct hqta_black_pct

SCAG https://lacounty.maps.arcgis.com/home/item.html?id=43e6fef395d041c09deaeb369a513ca1

High Walkability Areas

walk_total_pct walk_black_pct

EPA Walkability Index https://www.epa.gov/smartgrowth/smart-location-mapping#walkability

High Poverty and High Segregation Areas

highpovseg_total_pct highpovseg_black_pct

CTCAC/HCD Opportunity Area Maps https://www.treasurer.ca.gov/ctcac/opportunity.asp

LA County Arts Investments

arts_dollars (total $$ for CSA) arts_dollars_percap (investment dollars per capita)

LA County Department of Arts and Culture https://lacountyartsdata.org/#maps

Strong Start (areas with at least 9 Strong Start indicators)

strongstart_total_pct strongstart_black_pct

CA Strong Start Index https://strongstartindex.org/map

For more information about the purpose of this data, please contact CEO-ARDI.

For more information about the configuration of this data, please contact ISD-Enterprise GIS.

This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: May 2025 (preliminary values at the state and county level) The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: July 2nd, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and County NationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS"s county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova. As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties. To better understand the different labor force statistics included in this map, see the diagram below from BLS:

In 2025, Jakarta had a population density of approximately ****** people per square kilometer. The province contributed to around **** percent to the total population of Indonesia. In that year, Indonesia’s population density was around *** people per square kilometer.

Important Note: This item is in mature support as of June 2023 and will be retired in December 2025. This map displays the dominant LifeMode Summary Group in the USA by country, state, county, ZIP Code, tract, and block group, based on Esri's Tapestry Segmentation system. The popup refers to state, county, ZIP Code, tract, and block group values depending on scale. Each popup is configured to display the following information within each geography level:Dominant Tapestry SegmentLink to more information about the predominant Tapestry SegmentTotal populationMedian age (Median Age web map)Diversity Index (Diversity Index web map)Median household income (Median Household Income web map)Median disposable income (Median Disposable Income web map)Count of households by Tapestry LifeMode Summary GroupCount of population by race/ethnicityLink to more information about Esri's DemographicsPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Modified Atmosphere Packaging (MAP) Equipment Market Outlook

The global Modified Atmosphere Packaging (MAP) equipment market is projected to reach USD 10 billion by 2032, registering a significant CAGR of 7% during the forecast period. The growth of this market is driven by the increasing demand for extending the shelf life of perishable products, primarily in the food and pharmaceutical industries.

One of the primary growth factors for the global MAP equipment market is the rising consumer demand for fresh and minimally processed food products. As consumers become more health-conscious, there is a growing preference for foods that retain their original nutritional value and taste. Modified atmosphere packaging sustains the freshness of food products by controlling the atmosphere inside the packaging, thus preventing spoilage and extending shelf life. This has resulted in substantial adoption of MAP technology by food manufacturers and retailers, fueling market growth.

Technological advancements in packaging machinery also significantly contribute to market expansion. Innovations such as automation, improved materials, and advanced sealing techniques have enhanced the efficiency and effectiveness of MAP equipment. These advancements not only reduce labor costs but also ensure better packaging quality, which in turn helps to meet the stringent regulatory standards set by food safety authorities across the globe. Consequently, manufacturers are increasingly investing in state-of-the-art MAP machinery to stay competitive in the market.

The growing e-commerce sector, particularly in the food and beverage industry, is another pivotal factor driving the demand for MAP equipment. Online food retailing requires robust packaging solutions to maintain product quality during transportation and storage. Modified atmosphere packaging plays a crucial role in this regard by ensuring that perishable items such as fruits, vegetables, and ready-to-eat meals remain fresh until they reach the end consumer. The expansion of online grocery shopping and home delivery services is therefore boosting the adoption of MAP equipment.

Regionally, Asia Pacific holds a substantial share in the MAP equipment market, owing to the increasing population, rapid urbanization, and rising disposable incomes. Countries such as China, India, and Japan are witnessing a surge in demand for packaged food products, which in turn drives the need for advanced packaging solutions. Additionally, favorable government initiatives aimed at improving food safety and reducing food waste further support the growth of the MAP equipment market in this region.

Machine Type Analysis

When examining the machine type segment of the MAP equipment market, the tray sealer machine holds a prominent position. Tray sealer machines are widely used in the packaging of ready-to-eat meals, fresh produce, and meat products due to their efficiency in sealing and maintaining the modified atmosphere within trays. The ability of these machines to handle various tray sizes and materials enhances their versatility, making them a preferred choice among food manufacturers. Additionally, advancements in tray sealing technology, such as the incorporation of automated systems and improved control mechanisms, have further driven the adoption of tray sealer machines.

Vacuum chamber machines are another critical segment within the MAP equipment market. These machines are particularly effective in extending the shelf life of perishable goods by removing air and creating a vacuum before sealing the package. Vacuum chamber machines are extensively used in packaging meats, cheeses, and other high-value food items. The growing demand for vacuum packaging solutions in both retail and commercial sectors is propelling the growth of this segment. Moreover, the introduction of dual-chamber and automatic vacuum chamber machines has enhanced operational efficiency, making them more attractive to packaging companies.

The horizontal flow pack machine segment is also experiencing notable growth. These machines are designed to package products in a continuous flow, making them ideal for high-speed production lines. Horizontal flow pack machines are commonly used for packaging bakery products, confectionery, and snacks. The demand for these machines is driven by the need for efficient packaging solutions that can handle various product shapes and sizes. Additionally, the integration of MAP technology with horizontal flow pack machines allows for the packaging of perishable items with extended shelf life, further boosting thei