6 datasets found
  1. N

    Alameda County, CA Median Household Income Trends (2010-2023, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Alameda County, CA Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/16d5927d-f81d-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 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
    Alameda County, California
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It presents the median household income from the years 2010 to 2023 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 illustrates the median household income in Alameda County, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2023, the median household income for Alameda County increased by $28,760 (29.50%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

    Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2023
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    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 Alameda County median household income. You can refer the same here

  2. N

    Alameda, CA Median Household Income Trends (2010-2021, in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    Share
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    Click to copy link
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    Cite
    Neilsberg Research (2024). Alameda, CA Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/905d1e4c-73f0-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    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
    Alameda, California
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It presents the median household income from the years 2010 to 2021 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 illustrates the median household income in Alameda, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2021, the median household income for Alameda increased by $22,364 (22.33%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

    Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 3 years.

    https://i.neilsberg.com/ch/alameda-ca-median-household-income-trend.jpeg" alt="Alameda, CA median household income trend (2010-2021, 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. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2021
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    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 Alameda median household income. You can refer the same here

  3. ALAMEDA C FLOOD CHANNEL A UNION CITY CA (USGS 11180700)

    • erddap.sensors.axds.co
    • erddap.cencoos.org
    Updated Dec 15, 2023
    + more versions
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    USGS National Water Information System (NWIS) (2023). ALAMEDA C FLOOD CHANNEL A UNION CITY CA (USGS 11180700) [Dataset]. http://erddap.sensors.axds.co/erddap/info/gov_usgs_nwis_11180700/index.html
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    USGS National Water Information System
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    USGS National Water Information System (NWIS)
    Time period covered
    Dec 15, 2023 - Jul 13, 2025
    Area covered
    Variables measured
    z, time, station, latitude, longitude, river_discharge, river_discharge_qc_agg, river_discharge_qc_tests, water_surface_height_above_reference_datum_above_navd88, water_surface_height_above_reference_datum_above_navd88_qc_agg, and 4 more
    Description

    Timeseries data from 'ALAMEDA C FLOOD CHANNEL A UNION CITY CA (USGS 11180700)' (gov_usgs_nwis_11180700) _NCProperties=version=2,netcdf=4.8.1,hdf5=1.12.2 cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3 defaultDataQuery=water_surface_height_above_reference_datum_above_localstationdatum_qc_agg,river_discharge,water_surface_height_above_reference_datum_above_localstationdatum,water_surface_height_above_reference_datum_above_navd88_qc_agg,z,time,water_surface_height_above_reference_datum_above_navd88,river_discharge_qc_agg&time>=max(time)-3days Easternmost_Easting=-122.048296 featureType=TimeSeries geospatial_lat_max=37.585768 geospatial_lat_min=37.585768 geospatial_lat_units=degrees_north geospatial_lon_max=-122.048296 geospatial_lon_min=-122.048296 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from USGS National Water Information System (NWIS) at id=132080 infoUrl=https://sensors.ioos.us/#metadata/132080/station institution=USGS National Water Information System (NWIS) naming_authority=com.axiomdatascience Northernmost_Northing=37.585768 platform=fixed platform_name=ALAMEDA C FLOOD CHANNEL A UNION CITY CA (USGS 11180700) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://waterdata.usgs.gov/monitoring-location/11180700,, sourceUrl=https://waterdata.usgs.gov/monitoring-location/11180700 Southernmost_Northing=37.585768 standard_name_vocabulary=CF Standard Name Table v72 station_id=132080 time_coverage_end=2025-07-13T05:00:00Z time_coverage_start=2023-12-15T03:00:00Z Westernmost_Easting=-122.048296

  4. N

    Alameda County, CA Median Household Income Trends (2010-2021, in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    Share
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    Click to copy link
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    Cite
    Neilsberg Research (2024). Alameda County, CA Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/cd848e3b-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    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
    Alameda County, California
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It presents the median household income from the years 2010 to 2021 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 illustrates the median household income in Alameda County, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2021, the median household income for Alameda County increased by $27,462 (29.33%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

    Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 8 years and declined for 3 years.

    https://i.neilsberg.com/ch/alameda-county-ca-median-household-income-trend.jpeg" alt="Alameda County, CA median household income trend (2010-2021, 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. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2021
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    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 Alameda County median household income. You can refer the same here

  5. ALAMEDA C BL CALAVERAS C NR SUNOL CA

    • erddap.sensors.ioos.us
    Updated May 5, 2015
    + more versions
    Share
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    USGS National Water Information System (NWIS) (2015). ALAMEDA C BL CALAVERAS C NR SUNOL CA [Dataset]. http://erddap.sensors.ioos.us/erddap/info/gov_usgs_waterdata_11173510/index.html
    Explore at:
    Dataset updated
    May 5, 2015
    Dataset provided by
    USGS National Water Information System
    Authors
    USGS National Water Information System (NWIS)
    Time period covered
    May 5, 2015 - Jan 27, 2022
    Area covered
    Variables measured
    z, time, station, latitude, longitude, river_discharge, sea_water_temperature, height_geoid_local_station_datum, water_surface_height_above_reference_datum_geoid_localstationdatum
    Description

    Timeseries data from 'ALAMEDA C BL CALAVERAS C NR SUNOL CA' (urn:ioos:station:gov.usgs.waterdata:11173510) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.0 defaultDataQuery=river_discharge,sea_water_temperature,z,time,height_geoid_local_station_datum,water_surface_height_above_reference_datum_geoid_localstationdatum&time>=max(time)-3days Easternmost_Easting=-121.8246774 featureType=TimeSeries geospatial_lat_max=37.5035472 geospatial_lat_min=37.5035472 geospatial_lat_units=degrees_north geospatial_lon_max=-121.8246774 geospatial_lon_min=-121.8246774 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from USGS National Water Information System (NWIS) at id=17640 infoUrl=https://sensors.ioos.us/#metadata/17640/station institution=USGS National Water Information System (NWIS) naming_authority=com.axiomdatascience Northernmost_Northing=37.5035472 platform=fixed platform_name=ALAMEDA C BL CALAVERAS C NR SUNOL CA platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://waterdata.usgs.gov/usa/nwis/uv?site_no=11173510,, sourceUrl=https://sensors.axds.co/api/ Southernmost_Northing=37.5035472 standard_name_vocabulary=CF Standard Name Table v72 time_coverage_end=2022-01-27T19:00:00Z time_coverage_start=2015-05-05T11:30:00Z Westernmost_Easting=-121.8246774

  6. Alameda, CA (AAMC1)

    • erddap.cencoos.org
    Updated Jan 1, 2015
    + more versions
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    NOAA Center for Operational Oceanographic Products and Services (CO-OPS) (2015). Alameda, CA (AAMC1) [Dataset]. https://erddap.cencoos.org/erddap/info/noaa_nos_co_ops_9414750/index.html
    Explore at:
    Dataset updated
    Jan 1, 2015
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA Center for Operational Oceanographic Products and Services (CO-OPS)
    Time period covered
    Jan 1, 2015 - Jul 6, 2025
    Area covered
    Variables measured
    z, time, station, latitude, longitude, wind_speed, air_pressure, air_temperature, wind_speed_qc_agg, wind_speed_of_gust, and 19 more
    Description

    Timeseries data from 'Alameda, CA (AAMC1)' (noaa_nos_co_ops_9414750) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=,webmaster.ndbc@noaa.gov,,National Water Level Program (co-ops.userservices@noaa.gov),feedback@axiomdatascience.com contributor_name=PORTS (Physical Oceanographic Real-Time System),NOAA National Data Buoy Center (NDBC),World Meteorological Organization (WMO),National Water Level Observation Network (NWLON),Axiom Data Science contributor_role=contributor,contributor,contributor,collaborator,processor contributor_role_vocabulary=NERC contributor_url=https://tidesandcurrents.noaa.gov/ports.html,https://www.ndbc.noaa.gov/,https://wmo.int/,https://tidesandcurrents.noaa.gov/nwlon.html,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=water_surface_above_mllw,wind_speed_qc_agg,wind_speed_of_gust_qc_agg,sea_surface_height_amplitude_due_to_geocentric_ocean_tide_above_mllw_qc_agg,wind_speed_of_gust,sea_water_temperature,sea_surface_height_amplitude_due_to_geocentric_ocean_tide_above_mllw,wind_from_direction,air_temperature_qc_agg,wind_from_direction_qc_agg,air_temperature,air_pressure_qc_agg,sea_water_temperature_qc_agg,water_surface_above_mllw_qc_agg,z,wind_speed,time,air_pressure&time>=max(time)-3days Easternmost_Easting=-122.3 featureType=TimeSeries geospatial_lat_max=37.7717 geospatial_lat_min=37.7717 geospatial_lat_units=degrees_north geospatial_lon_max=-122.3 geospatial_lon_min=-122.3 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from NOAA Center for Operational Oceanographic Products and Services (CO-OPS) at https://tidesandcurrents.noaa.gov/api/ id=115116 infoUrl=https://sensors.ioos.us/#metadata/115116/station institution=NOAA Center for Operational Oceanographic Products and Services (CO-OPS) naming_authority=com.axiomdatascience Northernmost_Northing=37.7717 platform=fixed platform_name=Alameda, CA (AAMC1) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://tidesandcurrents.noaa.gov/stationhome.html?id=9414750,https://tidesandcurrents.noaa.gov/api/,https://tidesandcurrents.noaa.gov/ports/ports.html?id=9414750,https://www.ndbc.noaa.gov/station_page.php?station=AAMC1,https://tidesandcurrents.noaa.gov/nwlon.html,https://tidesandcurrents.noaa.gov/corms.html sourceUrl=https://tidesandcurrents.noaa.gov/api/ Southernmost_Northing=37.7717 standard_name_vocabulary=CF Standard Name Table v72 station_id=115116 time_coverage_end=2025-07-06T05:00:00Z time_coverage_start=2015-01-01T00:00:00Z Westernmost_Easting=-122.3 wmo_platform_code=AAMC1

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    Learn how you can add new datasets to our index.

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Cite
Neilsberg Research (2025). Alameda County, CA Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/16d5927d-f81d-11ef-a994-3860777c1fe6/

Alameda County, CA Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars)

Explore at:
csv, jsonAvailable download formats
Dataset updated
Mar 3, 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
Alameda County, California
Variables measured
Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
Measurement technique
The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It presents the median household income from the years 2010 to 2023 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 illustrates the median household income in Alameda County, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Alameda County increased by $28,760 (29.50%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

  • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

  • Year: This column presents the data year from 2010 to 2023
  • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
  • YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
  • YOY Change(%): Percent change in median household income between current and the previous year

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 Alameda County median household income. You can refer the same here

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