25 datasets found
  1. N

    Median Household Income by Racial Categories in Victoria County, TX (, in...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
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    Neilsberg Research (2025). Median Household Income by Racial Categories in Victoria County, TX (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/insights/victoria-county-tx-median-household-income-by-race/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Victoria County, Texas
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Victoria County. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Victoria County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 61.59% of the total residents in Victoria County. Notably, the median household income for White households is $71,917. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $146,591. This reveals that, while Whites may be the most numerous in Victoria County, Asian households experience greater economic prosperity in terms of median household income.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Victoria County.
    • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Victoria County median household income by race. You can refer the same here

  2. M

    Melbourne, Australia Metro Area Population 1950-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
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    MACROTRENDS (2025). Melbourne, Australia Metro Area Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/cities/206168/melbourne/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1950 - Mar 26, 2025
    Area covered
    Australia
    Description

    Chart and table of population level and growth rate for the Melbourne, Australia metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

  3. Population estimates, July 1, by census metropolitan area and census...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Jan 16, 2025
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    Government of Canada, Statistics Canada (2025). Population estimates, July 1, by census metropolitan area and census agglomeration, 2021 boundaries [Dataset]. http://doi.org/10.25318/1710014801-eng
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

  4. Metropolitan area population in Canada 2022

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Metropolitan area population in Canada 2022 [Dataset]. https://www.statista.com/statistics/443749/canada-population-by-metropolitan-area/
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    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Canada
    Description

    Canada's largest metropolitan area is Toronto, in Ontario. In 2022. Over 6.6 million people were living in the Toronto metropolitan area. Montréal, in Quebec, followed with about 4.4 million inhabitants, while Vancouver, in Britsh Columbia, counted 2.8 million people as of 2022.

  5. VIF 2016 LGA Greater Dandenong - One Page Profile

    • data.wu.ac.at
    xlsx
    Updated Sep 21, 2016
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    Department of Environment, Land, Water & Planning (2016). VIF 2016 LGA Greater Dandenong - One Page Profile [Dataset]. https://data.wu.ac.at/schema/www_data_vic_gov_au/YjI3ODA5YWMtODY3YS00ZjYyLTg5ZWItNGYxODRlYjFhY2Fm
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Sep 21, 2016
    Dataset provided by
    Department of Environment, Land, Water and Planninghttp://delwp.vic.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Victoria in Future 2016 (VIF2016) is the official state government projection of population and households. Projections are used by decision makers across government and in other areas. The results are driven by assumptions concerning demographic and land use trends. Projections are based on the latest (30 June 2015) population estimates from the Australian Bureau of Statistics (ABS) and incorporate the results of the 2011 Census. For Victoria and major regions, the projections cover the period from 2011 to 2051. For Local Government Areas (LGA) and Victoria in Future Small Areas (VIFSA), the projections extend to 2031.

  6. 澳大利亚 Population: Resident: Estimated: Annual: Victoria: Greater Melbourne

    • ceicdata.com
    + more versions
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    CEICdata.com, 澳大利亚 Population: Resident: Estimated: Annual: Victoria: Greater Melbourne [Dataset]. https://www.ceicdata.com/zh-hans/australia/estimated-resident-population/population-resident-estimated-annual-victoria-greater-melbourne
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    澳大利亚, 維多利亞省, 墨尔本, 澳大利亚
    Variables measured
    Population
    Description

    澳大利亚 Population: Resident: Estimated: Annual: Victoria: Greater Melbourne在2017达4,843,781.000 人口,相较于2016的4,714,387.000 人口有所增长。澳大利亚 Population: Resident: Estimated: Annual: Victoria: Greater Melbourne数据按每年更新,2006至2017期间平均值为4,217,604.500 人口,共12份观测结果。该数据的历史最高值出现于2017,达4,843,781.000 人口,而历史最低值则出现于2006,为3,760,760.000 人口。CEIC提供的澳大利亚 Population: Resident: Estimated: Annual: Victoria: Greater Melbourne数据处于定期更新的状态,数据来源于Australian Bureau of Statistics,数据归类于Global Database的澳大利亚 – Table AU.G002: Estimated Resident Population。

  7. r

    Forecast Population - City of Greater Geelong

    • researchdata.edu.au
    Updated Nov 3, 2022
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    data.vic.gov.au (2022). Forecast Population - City of Greater Geelong [Dataset]. https://researchdata.edu.au/forecast-population-city-greater-geelong/2167080
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    Dataset updated
    Nov 3, 2022
    Dataset provided by
    data.vic.gov.au
    Area covered
    Greater Geelong City
    Description

    This summary shows the results of the forecasts for population, households and dwellings in the City of Greater Geelong. The period 2020, 2030 and 2040, as the short to medium term, is likely to be the most accurate and useful forecast information for immediate planning purposes.

    It is important to look at the relationship between population and average household size. If the average household size is falling, then there will need to be growth in the number of households (and dwellings for them to live in) to maintain or grow the population.

  8. l

    Knowledge of Official Languages

    • langford.ca
    • rmofstclements.com
    • +74more
    Updated Jun 2, 2021
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    (2021). Knowledge of Official Languages [Dataset]. https://langford.ca/business/community-profile/lifestyle/
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    Dataset updated
    Jun 2, 2021
    Description

    This chart shows how many individuals can carry a conversation in English only, in French only, in both English and French, or in neither English nor French.

  9. g

    Demographics for Fire Risk Analysis, Regional Victoria and peri-urban...

    • ecat.ga.gov.au
    Updated Sep 15, 2024
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    (2024). Demographics for Fire Risk Analysis, Regional Victoria and peri-urban Melbourne [Dataset]. https://ecat.ga.gov.au/geonetwork/eng/search?keyword=Bushfire
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    Dataset updated
    Sep 15, 2024
    Area covered
    Victoria
    Description

    This atlas-style report presents a spatial demographic analysis for Victoria including measures of population vulnerability. It updates the 2016 report which relied on data from the ABS 2011 census of population and housing. This version uses information from the 2016 census along with other updated population data. Key findings include: • Fire is a natural part of the Australian landscape but its incidence and impact can be increased by the presence of people. • Measures of vulnerability are indicative. They do not predict how a particular individual will respond to a specific event. Nevertheless, research studies have shown that some characteristics are associated with an individual’s level of vulnerability before, during, or after a disaster. • Population vulnerabilities have a geographical distribution. Some communities will have a greater measure of vulnerability than others, and some locations may display multiple types of vulnerability. • The vulnerability level of a household will be determined by its weakest rather than its strongest member. KEY FINDINGS • Population characteristics change over time. Hence patterns of vulnerability can also change over time. Sometimes changing characteristics occur because people move into or out of a community. Other changes occur within a population. Children may be born, increasing the number of infants in a community, or people may age in place, causing an increse in numbers of older people. • In Melbourne’s fringe and peri-urban areas, this pattern of ageing in place is likely to cause a significant increase in numbers of older people. • Most population measures are based on where people usually live or work, yet people can be highly mobile. • People may have more than one residence. This can include: holiday homes; weekenders; or for regional populations, a townhouse in the city. • Population mobility presents particular challenges for risk assessment and emergency management. Towns may vary in population size by a factor of four or five during particular seasons of the year. • Popular visitor and holiday locations such as the Dandenong Ranges and Great Ocean Road have particularly high fire risk. Planning for fire therefore requires an understanding of both permanent and part-time populations.

  10. l

    Household Income

    • langford.ca
    • villageofarrowwood.ca
    • +75more
    Updated Jun 2, 2021
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    (2021). Household Income [Dataset]. https://langford.ca/business/community-profile/lifestyle/
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    Dataset updated
    Jun 2, 2021
    Description

    The household incomes chart shows how many household fall in each of the income brackets specified by Statistics Canada.

  11. l

    Median Age

    • langford.ca
    • townofkipling.ca
    • +84more
    Updated Jun 2, 2021
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    (2021). Median Age [Dataset]. https://langford.ca/business/community-profile/lifestyle/
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    Dataset updated
    Jun 2, 2021
    Description

    The median age indicates the age separating the population group into two halves of equal size.

  12. l

    Ages

    • langford.ca
    • townfolio.co
    • +77more
    Updated Jun 2, 2021
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    (2021). Ages [Dataset]. https://langford.ca/business/community-profile/lifestyle/
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    Dataset updated
    Jun 2, 2021
    Description

    Ages chart illustrates the age and gender trends across all age and gender groupings. A chart where the the covered area is primarily on the right describes a very young population while a chart where the the covered area is primarily on the left illustrates an aging population.

  13. r

    Ambulance Victoria UCL Response Time Performance

    • researchdata.edu.au
    Updated Nov 28, 2019
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    data.vic.gov.au (2019). Ambulance Victoria UCL Response Time Performance [Dataset]. https://researchdata.edu.au/ambulance-victoria-ucl-time-performance/1440163
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    Dataset updated
    Nov 28, 2019
    Dataset provided by
    data.vic.gov.au
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Victoria
    Description

    Ambulance Victoria has two official response time targets: Respond to Code 1 incidents within 15 minutes for 85% of incidents state-wide, and Respond to Code 1 incidents within 15 minutes for 90% of incidents in urban centres with populations greater than 7,500. Response times are an important measure of the service we provide, but are only one of a number of measures used to gauge the effective delivery of an ambulance service. \r Our response times are measured from the receipt of the triple zero (000) call until paramedics arrive on scene. Response times are influenced by many factors including traffic, distance required to travel, availability of ambulances and demand for our services. \r We designate those patients that require urgent paramedic and hospital care as "Code 1", and these patients receive a "lights and sirens" response. The tables provide information about our Code 1 response time performance by both Local Government Area (LGA) and Urban Centres and Localities (UCL). Code 2 incidents are acute, but not time critical and do not require a lights and sirens response. AV's average Code 2 response time performance has also been provided. \r As part of our process of continual improvement, the response time performance shown below has been calculated using data sourced from the Computer Aided Dispatch (CAD) system used across Victoria. UCLs : These are geographical areas based on the Australian Bureau of Statistics Urban Centres and Localities (UCLs) boundaries and residential population. Ambulance Victoria reports performance for larger UCLs where population exceeds 7,500 persons.

  14. l

    Data from: Median Household Income

    • langford.ca
    • southstormont.ca
    • +81more
    Updated Jun 2, 2021
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    (2021). Median Household Income [Dataset]. https://langford.ca/business/community-profile/lifestyle/
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    Dataset updated
    Jun 2, 2021
    Description

    The median income indicates the income bracket separating the income earners into two halves of equal size.

  15. Gross domestic product (GDP) at basic prices, by census metropolitan area...

    • www150.statcan.gc.ca
    Updated Nov 27, 2024
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    Government of Canada, Statistics Canada (2024). Gross domestic product (GDP) at basic prices, by census metropolitan area (CMA) (x 1,000,000) [Dataset]. http://doi.org/10.25318/3610046801-eng
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains data for gross domestic product (GDP), in current dollars, for all census metropolitan area and non-census metropolitan areas.

  16. l

    Gender

    • langford.ca
    • oxbow.ca
    • +78more
    Updated Jun 2, 2021
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    (2021). Gender [Dataset]. https://langford.ca/business/community-profile/lifestyle/
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    Dataset updated
    Jun 2, 2021
    Description

    Age-sex charts emphasize the gap between the numbers of males and females at a specific age group. It also illustrates the age and gender trends across all age and gender groupings. A chart skewed heavily to the left describes a very young population while a chart skewed heavily to the right illustrates an aging population.

  17. r

    Population dynamics of the intertidal limpet, Siphonaria diemenensis at...

    • researchdata.edu.au
    Updated 1985
    + more versions
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    Quinn, Gerry; Quinn, Gerry, Professor; Quinn, Gerry (1985). Population dynamics of the intertidal limpet, Siphonaria diemenensis at Griffith Point, Victoria. [Dataset]. https://researchdata.edu.au/population-dynamics-intertidal-point-victoria/680015
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    Dataset updated
    1985
    Dataset provided by
    Australian Ocean Data Network
    Authors
    Quinn, Gerry; Quinn, Gerry, Professor; Quinn, Gerry
    Time period covered
    Jan 1981 - Dec 1981
    Area covered
    Description

    A combination of surveys and experiments were used to determine the size distribution, recruitment, mortality and growth rates of Siphonaria diemenensis in 2 zones on the rocky shore at Griffith Point, San Remo, Victoria. One zone was in the high intertidal (Zone 2) and one was in the low intertidal area on the shore. There were 3 sites in Zone 1 and 2 sites in Zone 2 (see parent record for more details).

    A size frequency distribution was constructed for each site from surveys that recorded the size of all individuals every 2 months from October 1979 to December 1981. In addition to the sites in Zone 1 there were 12 permanent quadrats (50 x 50cm) which were surveyed in the same manner from December 1980 to December 1981. The sizes of recruits were similar in both Zones but the sizes of adults were significantly greater in Zone 2. In both years, the maximum density of recruits in Zone 1 was greater than in Zone 2. The mortality rate of adult limpets in Zone 2 was lower compared to limpets in Zone 1.

    The growth rates (mm per month) of marked individuals were calculated for 3 time intervals; January-March, March-May and May-late July (Zone 2) and Mary-early August (Zone 1) in 1981. Limpets in Zone 2 grew faster (average 0.63 mm per month) than the limpets in Zone 1 (average 0.11mm per month).

    In addition, an experiment was conducted in Zone 1 from May to July in 1981 to determine the effects of adult density and macroalgal cover on limpet recruitment. It was found that there was no effect of adult density but a significant interactive effect of algal cover and sampling date on the number of limpet recruits.

  18. Number and rate of homicide victims, by Census Metropolitan Areas

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jul 25, 2024
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    Government of Canada, Statistics Canada (2024). Number and rate of homicide victims, by Census Metropolitan Areas [Dataset]. http://doi.org/10.25318/3510007101-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number and rate (per 100,000 population) of homicide victims, Canada and Census Metropolitan Areas, 1981 to 2023.

  19. l

    Data from: Visible Minorities

    • langford.ca
    • barrhead.ca
    • +73more
    Updated Jun 2, 2021
    + more versions
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    (2021). Visible Minorities [Dataset]. https://langford.ca/business/community-profile/lifestyle/
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    Dataset updated
    Jun 2, 2021
    Description

    Number of people belonging to a visible minority group as defined by the Employment Equity Act and, if so, the visible minority group to which the person belongs. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.' The visible minority population consists mainly of the following groups: South Asian, Chinese, Black, Filipino, Latin American, Arab, Southeast Asian, West Asian, Korean and Japanese.

  20. l

    Marital Status

    • langford.ca
    • api.townfolio.co
    • +74more
    Updated Jun 2, 2021
    + more versions
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    (2021). Marital Status [Dataset]. https://langford.ca/business/community-profile/lifestyle/
    Explore at:
    Dataset updated
    Jun 2, 2021
    Description

    The marital status is another term for civil status, or person's current relationship with a partner.

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Neilsberg Research (2025). Median Household Income by Racial Categories in Victoria County, TX (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/insights/victoria-county-tx-median-household-income-by-race/

Median Household Income by Racial Categories in Victoria County, TX (, in 2023 inflation-adjusted dollars)

Explore at:
json, csvAvailable download formats
Dataset updated
Mar 1, 2025
Dataset authored and provided by
Neilsberg Research
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Victoria County, Texas
Variables measured
Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
Measurement technique
The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

The dataset presents the median household income across different racial categories in Victoria County. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Victoria County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 61.59% of the total residents in Victoria County. Notably, the median household income for White households is $71,917. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $146,591. This reveals that, while Whites may be the most numerous in Victoria County, Asian households experience greater economic prosperity in terms of median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

  • White
  • Black or African American
  • American Indian and Alaska Native
  • Asian
  • Native Hawaiian and Other Pacific Islander
  • Some other race
  • Two or more races (multiracial)

Variables / Data Columns

  • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Victoria County.
  • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Victoria County median household income by race. You can refer the same here

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