About this dataset

Context

The dataset tabulates the Alaska population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Alaska.

Content

The dataset constitues the following two datasets across these two themes

• Alaska Population Breakdown by Gender
• Alaska Population Breakdown by Gender and Age

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/.

About this dataset

Context

The dataset tabulates the Alaska 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 Alaska. The dataset can be utilized to understand the population distribution of Alaska by age. For example, using this dataset, we can identify the largest age group in Alaska.

Key observations

The largest age group in Alaska was for the group of age 30 to 34 years years with a population of 58,242 (7.94%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Alaska was the 85 years and over years with a population of 6,510 (0.89%). 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 Alaska is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Alaska 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 Alaska Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Alaska 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 Alaska 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 2024, the population of Alaska was 740,133, a 0.49% increase year-by-year from 2023. Previously, in 2023, Alaska population was 736,510, an increase of 0.28% compared to a population of 734,442 in 2022. Over the last 20 plus years, between 2000 and 2024, population of Alaska increased by 112,385. In this period, the peak population was 742,575 in the year 2016. 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 2024

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2024)
• Population: The population for the specific year for the Alaska is shown in this column.
• Year on Year Change: This column displays the change in Alaska 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 Alaska Population by Year. You can refer the same here

Graph and download economic data for Employed Persons in Alaska (LAUST020000000000005) from Jan 1976 to May 2025 about AK, household survey, employment, persons, and USA.

This resource is a member of a series. 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. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2023 BAS as well.

Graph and download economic data for Labor Force Participation Rate for Alaska (LBSNSA02) from Jan 1976 to May 2025 about AK, participation, labor force, labor, rate, and USA.

In 2023, about 10.4 percent of Alaska's population lived below the poverty line. This accounts for persons or families whose collective income in the preceeding 12 months was below the national poverty level of the United States.

Population of boroughs and divisions from 1970 to the most recent census. Note: these boundaries have changed over time. Divisions refers to the larger census areas that applied to the US Census in 1970. Post-1970, boroughs and census areas were established. Select 'Open in Map Viewer' from the top right menu on this page, or add this data to the Build Your Own Map application. From the Layer List, expand this map service to change what is visible on the map and see specific data for a specific year.Source: Alaska Department of Labor and Workforce Development, United States Census BureauThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information, see: Alaska Census and Population, SOA DOLWDUSE CONSTRAINTS: The Alaska Department of Commerce, Community, and Economic Development (DCCED) provides the data in this application as a service to the public. DCCED makes no warranty, representation, or guarantee as to the content, accuracy, timeliness, or completeness of any of the data provided on this site. DCCED shall not be liable to the user for damages of any kind arising out of the use of data or information provided. Any data or information provided by DCCED is provided "as is". Data or information provided by DCCED shall be used and relied upon only at the user's sole risk.

This statistic shows the educational attainment distribution of the population of Alaska in 2019. In 2019, about **** percent of Alaska residents aged 25 years and older had a high school diploma or equivalency as their highest level of education.

The Alaska Geochemical Database Version 3.0 (AGDB3) contains new geochemical data compilations in which each geologic material sample has one best value determination for each analyzed species, greatly improving speed and efficiency of use. Like the Alaska Geochemical Database Version 2.0 before it, the AGDB3 was created and designed to compile and integrate geochemical data from Alaska to facilitate geologic mapping, petrologic studies, mineral resource assessments, definition of geochemical baseline values and statistics, element concentrations and associations, environmental impact assessments, and studies in public health associated with geology. This relational database, created from databases and published datasets of the U.S. Geological Survey (USGS), Atomic Energy Commission National Uranium Resource Evaluation (NURE), Alaska Division of Geological & Geophysical Surveys (DGGS), U.S. Bureau of Mines, and U.S. Bureau of Land Management serves as a data archive in support ...

About this dataset

Context

The dataset presents median household incomes for various household sizes in Alaska, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Alaska. Across the different household sizes in Alaska the mean income is $106,797, and the standard deviation is $28,171. The coefficient of variation (CV) is 26.38%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $48,209. It then further increased to $131,007 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/alaska-median-household-income-by-household-size.jpeg" alt="Alaska median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Alaska median household income. You can refer the same here

Graph and download economic data for Average Weekly Earnings of All Employees: Total Private in Alaska (SMU02000000500000011) from Jan 2007 to May 2025 about AK, earnings, private, employment, and USA.

A nested spectral wave model (Simulating Waves WAves Nearshore [SWAN]; Booij and others, 1999) was deployed for the central Beaufort Sea coast of Alaska to simulate waves for the period from 1979 to 2019. Results in the form of spatial summary statistics, describing wave parameters, wind speed and sea-ice area cover for the intermediate grid (see Overview Image on main page of data release), are provided. Further information can be found in Nederhoff and others (2021).

This collection of GIS layers was prepared for the report Alaska Arctic Marine Fish Ecology Catalog (U.S. Geological Survey Scientific Investigations Report 2016–5038). The layers display geographic distribution and sampling locations for Arctic marine fish species in the region of United States sectors of the Chukchi and Beaufort Seas. Certain diadromous species (for example, Pacific salmon, char, and whitefishes) are treated as marine fishes (McDowall, 1987) because much of their life cycle is in marine and brackish environments. This synthesis of information is meant to provide current information and understanding of this fauna and its relative vulnerability to changing Arctic conditions. There are 104 species in the collection - some species have both polygon and point data layers. The report (SIR 2016-5038) also describes for each species its names - species, common, and colloquial; ecological role; physical description/attributes; range (geographic); relative abundance; depth range; habitats and life history; behavior; populations or stocks, reproduction, food and feeding, biological interactions, resilience, traditional and cultural importance, commercial fisheries, potential effects of climate change, areas for future research, cited references, and bibliography. The published report has one map for each species showing the polygon and point data as well as land and relevant administrative boundaries. Although some of the species also have an inland water presence, this report was concerned only with their marine conditions; therefore, the land component (from the original sources) has been clipped and removed. The distribution areas may be greater in extent than that shown in the report map bounding box limits. Distributions of marine fishes are shown in adjacent Arctic seas where reliable data are available. The report can be accessed at: https://doi.org/10.3133/sir20165038 This metadata document describes the collection of species data layers. Each species layer file will have its own metadata with details specific to that layer.

This dataset contains information and locations on faults and associated folds in Alaska that are believed to be sources of M>6 earthquakes during the Quaternary (the past 1,600,000 years). The dataset is intended to part of the USGS archive for historic and ancient earthquake sources used in current and future probabilistic seismic-hazard analyses. This dataset presents a single source that summarizes important information on paleoseismic (ancient earthquakes) parameters including, age of most recent deformation, slip rate, slip sense dip direction, and accuracy of original mapping. These data are compiled from hundreds of journal articles, maps, theses, and other documents, as referenced herein. The geospatial data coverage for the state of Alaska is designed to serve a variety of needs, both in terms of the user community and methods of delivering the data.

Graph and download economic data for All Employees: Retail Trade in Anchorage, AK (MSA) (SMU02112604200000001) from Jan 1990 to May 2025 about Anchorage, AK, retail trade, sales, retail, employment, and USA.

Graph and download economic data for Unemployment Rate in Nome Census Area, AK (AKNOME0URN) from Jan 1990 to May 2025 about Nome Census Area, AK; AK; unemployment; rate; and USA.

In 2023, the government and government enterprises industry added the most real value to the gross domestic product of Alaska. That year, this industry added about 10.26 billion chained 2017 U.S. dollars to the GDP of Alaska.

United States Unemployment Rate: Alaska data was reported at 5.800 % in Oct 2018. This records an increase from the previous number of 5.600 % for Sep 2018. United States Unemployment Rate: Alaska data is updated monthly, averaging 7.600 % from Jan 1976 (Median) to Oct 2018, with 514 observations. The data reached an all-time high of 12.900 % in Jan 1978 and a record low of 5.200 % in Aug 2000. United States Unemployment Rate: Alaska data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G057: Unemployment Rate: By State.

This app 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: March 2021 (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. Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData 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 2019 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.To better understand the different labor force statistics included in this map, see the diagram below from BLS:Esri's U.S. Updated Demographic Data - Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Data Note: The median household income value divides the distribution of household income into two equal parts. Pareto interpolation is used if the median falls in an income interval other than the first or last. For the lowest interval, <$10,000, linear interpolation is used. If the median falls in the upper income interval of $500,000+, it is represented by the value of $500,001. Additional Esri Resources:Esri DemographicsU.S. 2020/2025 Esri Updated DemographicsEssential demographic vocabularyPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.