Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Alameda County median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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)">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Alameda median household income. You can refer the same here
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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)">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Alameda County median household income. You can refer the same here
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
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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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Alameda County median household income. You can refer the same here