10 datasets found
  1. N

    Newborn, GA median household income breakdown by race betwen 2013 and 2023

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2025). Newborn, GA median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/insights/newborn-ga-median-household-income-by-race/
    Explore at:
    csv, jsonAvailable 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
    Georgia, Newborn
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends 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 from 2013 to 2023. 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 incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Newborn. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In Newborn, the median household income for the households where the householder is White decreased by $140(0.21%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $65,687 in 2013 and $65,547 in 2023.
    • Black or African American: In Newborn, the median household income for the households where the householder is Black or African American increased by $6,080(15.80%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $38,474 in 2013 and $44,554 in 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    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 Newborn.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are 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 Newborn median household income by race. You can refer the same here

  2. C

    Central African Republic CF: Prevalence of Wasting: Weight for Height: % of...

    • ceicdata.com
    • dr.ceicdata.com
    Updated Sep 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). Central African Republic CF: Prevalence of Wasting: Weight for Height: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/central-african-republic/social-health-statistics/cf-prevalence-of-wasting-weight-for-height--of-children-under-5
    Explore at:
    Dataset updated
    Sep 3, 2024
    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
    Dec 1, 1994 - Dec 1, 2019
    Area covered
    Central African Republic
    Description

    Central African Republic CF: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 5.200 % in 2022. This stayed constant from the previous number of 5.200 % for 2019. Central African Republic CF: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 7.400 % from Dec 1994 (Median) to 2022, with 9 observations. The data reached an all-time high of 12.100 % in 2006 and a record low of 5.200 % in 2022. Central African Republic CF: Prevalence of Wasting: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

  3. C

    Central African Republic CF: Prevalence of Underweight: Weight for Age:...

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jun 8, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Central African Republic CF: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 [Dataset]. https://www.dr.ceicdata.com/en/central-african-republic/social-health-statistics/cf-prevalence-of-underweight-weight-for-age-male--of-children-under-5
    Explore at:
    Dataset updated
    Jun 8, 2025
    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
    Dec 1, 2000 - Dec 1, 2019
    Area covered
    Central African Republic
    Description

    Central African Republic CF: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 20.200 % in 2022. This records a decrease from the previous number of 21.600 % for 2019. Central African Republic CF: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 23.500 % from Dec 1994 (Median) to 2022, with 9 observations. The data reached an all-time high of 29.100 % in 2006 and a record low of 20.200 % in 2022. Central African Republic CF: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

  4. Central African Republic CF: Prevalence of Stunting: Height for Age: Male: %...

    • ceicdata.com
    Updated Feb 18, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). Central African Republic CF: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/central-african-republic/social-health-statistics/cf-prevalence-of-stunting-height-for-age-male--of-children-under-5
    Explore at:
    Dataset updated
    Feb 18, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1994 - Dec 1, 2019
    Area covered
    Central African Republic
    Description

    Central African Republic CF: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 40.800 % in 2022. This records a decrease from the previous number of 43.000 % for 2019. Central African Republic CF: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 42.600 % from Dec 1994 (Median) to 2022, with 9 observations. The data reached an all-time high of 46.600 % in 2006 and a record low of 40.800 % in 2022. Central African Republic CF: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

  5. Central African Republic CF: Prevalence of Severe Wasting: Weight for...

    • ceicdata.com
    Updated Dec 11, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2022). Central African Republic CF: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 [Dataset]. https://www.ceicdata.com/en/central-african-republic/social-health-statistics/cf-prevalence-of-severe-wasting-weight-for-height--of-children-under-5
    Explore at:
    Dataset updated
    Dec 11, 2022
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1994 - Dec 1, 2019
    Area covered
    Central African Republic
    Description

    Central African Republic CF: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 1.600 % in 2022. This records an increase from the previous number of 0.900 % for 2019. Central African Republic CF: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 1.600 % from Dec 1994 (Median) to 2022, with 9 observations. The data reached an all-time high of 5.000 % in 2006 and a record low of 0.900 % in 2019. Central African Republic CF: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;Linear mixed-effect model estimates;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

  6. f

    Dataset for the study on late initiation of antenatal care visit amid...

    • figshare.com
    • plos.figshare.com
    xlsx
    Updated Jan 31, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kusse Urmale Mare; Gashaye Gobena Andargie; Abdulkerim Hassen Moloro; Ahmed Adem Mohammed; Osman Ahmed Mohammed; Beriso Furo Wengoro; Begetayinoral Kussia Lahole; Tesfahun Simon Hadaro; Simeon Meskele Leyto; Petros Orkaido Mamo; Abdulhakim Hora Hedato; Beminate Lemma Seifu; Temesgen Gebeyehu Wondmeneh; Oumer Abdulkadir Ebrahim; Kebede Gemeda Sabo (2025). Dataset for the study on late initiation of antenatal care visit amid implementation of new antenatal care model in Sub-Saharan African countries. [Dataset]. http://doi.org/10.1371/journal.pone.0316671.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Kusse Urmale Mare; Gashaye Gobena Andargie; Abdulkerim Hassen Moloro; Ahmed Adem Mohammed; Osman Ahmed Mohammed; Beriso Furo Wengoro; Begetayinoral Kussia Lahole; Tesfahun Simon Hadaro; Simeon Meskele Leyto; Petros Orkaido Mamo; Abdulhakim Hora Hedato; Beminate Lemma Seifu; Temesgen Gebeyehu Wondmeneh; Oumer Abdulkadir Ebrahim; Kebede Gemeda Sabo
    License

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

    Area covered
    Africa, Sub-Saharan Africa
    Description

    Dataset for the study on late initiation of antenatal care visit amid implementation of new antenatal care model in Sub-Saharan African countries.

  7. C

    Central African Republic CF: Prevalence of Severe Wasting: Weight for...

    • ceicdata.com
    Updated Dec 11, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2022). Central African Republic CF: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 [Dataset]. https://www.ceicdata.com/en/central-african-republic/social-health-statistics/cf-prevalence-of-severe-wasting-weight-for-height-male--of-children-under-5
    Explore at:
    Dataset updated
    Dec 11, 2022
    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
    Dec 1, 2000 - Dec 1, 2019
    Area covered
    Central African Republic
    Description

    Central African Republic CF: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 1.700 % in 2022. This records an increase from the previous number of 1.200 % for 2019. Central African Republic CF: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 2.000 % from Dec 1994 (Median) to 2022, with 9 observations. The data reached an all-time high of 5.500 % in 2000 and a record low of 1.200 % in 2019. Central African Republic CF: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59 months.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

  8. f

    Individual-and community-level characteristics of study subjects, pooled...

    • plos.figshare.com
    xls
    Updated May 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Enyew Getaneh Mekonen; Belayneh Shetie Workneh; Tadesse Tarik Tamir; Alebachew Ferede Zegeye (2024). Individual-and community-level characteristics of study subjects, pooled data from 36 SSA countries, DHS 2006–2022. [Dataset]. http://doi.org/10.1371/journal.pone.0303680.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Enyew Getaneh Mekonen; Belayneh Shetie Workneh; Tadesse Tarik Tamir; Alebachew Ferede Zegeye
    License

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

    Area covered
    Sub-Saharan Africa
    Description

    Individual-and community-level characteristics of study subjects, pooled data from 36 SSA countries, DHS 2006–2022.

  9. f

    Raw data set.

    • plos.figshare.com
    • figshare.com
    csv
    Updated May 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Joyce Nalwoga; Victoria Nakibuuka; Leonard Manirakiza; Tracy Tushabe Namata; Robert Sebunya (2025). Raw data set. [Dataset]. http://doi.org/10.1371/journal.pgph.0004361.s002
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Joyce Nalwoga; Victoria Nakibuuka; Leonard Manirakiza; Tracy Tushabe Namata; Robert Sebunya
    License

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

    Description

    Neurodevelopmental delay has been reported among preterm infants who survive beyond the neonatal period. However, there is paucity of data regarding neurodevelopmental outcomes in preterm infants in Africa, including Uganda. This study aimed to determine the prevalence and factors associated with neurodevelopment delay (NDD) in preterm infants aged 6–24 months of adjusted gestation age. A cross-sectional study was conducted among 206 preterm infants, aged between 6 and 24 months of adjusted gestation age in the preterm follow up clinics at St. Francis Hospital Nsambya and Mulago Specialized Women and Neonatal Hospital in Kampala-Uganda from 25th January 2021–25th January 2022. The prevalence of NDD was 13.6% (28/206), with social delay comprising 12.1% (25/206), fine motor delay 11.7% (24/206), language delay 10.7% (22/206) and gross motor delay 7.8% (16/206). Significant factors associated with NDD included microcephaly [aPR = 6.2, CI: 2.6-33.5, P 

  10. f

    Baseline demographic characteristics of children receiving ART in Wolaita...

    • figshare.com
    bin
    Updated Sep 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Daneil Tekese; Desalegn Dawit; Behailu Hawulte; Hussein Mohammed; Fekede Asefa; Lemessa Oljira (2023). Baseline demographic characteristics of children receiving ART in Wolaita Zone, southern Ethiopia, January 2010 to December 2022. [Dataset]. http://doi.org/10.1371/journal.pone.0291502.t001
    Explore at:
    binAvailable download formats
    Dataset updated
    Sep 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daneil Tekese; Desalegn Dawit; Behailu Hawulte; Hussein Mohammed; Fekede Asefa; Lemessa Oljira
    License

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

    Area covered
    Southern Nations, Nationalities and Peoples, Ethiopia
    Description

    Baseline demographic characteristics of children receiving ART in Wolaita Zone, southern Ethiopia, January 2010 to December 2022.

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Neilsberg Research (2025). Newborn, GA median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/insights/newborn-ga-median-household-income-by-race/

Newborn, GA median household income breakdown by race betwen 2013 and 2023

Explore at:
csv, jsonAvailable 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
Georgia, Newborn
Variables measured
Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends 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 from 2013 to 2023. 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 incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Newborn. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

  • White: In Newborn, the median household income for the households where the householder is White decreased by $140(0.21%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $65,687 in 2013 and $65,547 in 2023.
  • Black or African American: In Newborn, the median household income for the households where the householder is Black or African American increased by $6,080(15.80%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $38,474 in 2013 and $44,554 in 2023.
  • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
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 Newborn.
  • 2010: 2010 median household income
  • 2011: 2011 median household income
  • 2012: 2012 median household income
  • 2013: 2013 median household income
  • 2014: 2014 median household income
  • 2015: 2015 median household income
  • 2016: 2016 median household income
  • 2017: 2017 median household income
  • 2018: 2018 median household income
  • 2019: 2019 median household income
  • 2020: 2020 median household income
  • 2021: 2021 median household income
  • 2022: 2022 median household income
  • 2023: 2023 median household income
  • Please note: All incomes have been adjusted for inflation and are 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 Newborn median household income by race. You can refer the same here

Search
Clear search
Close search
Google apps
Main menu