About this dataset

Context

The dataset tabulates the population of Faith by race. It includes the population of Faith across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Faith across relevant racial categories.

Key observations

The percent distribution of Faith population by race (across all racial categories recognized by the U.S. Census Bureau): 89.36% are white, 2.39% are Black or African American, 7.34% are Asian and 0.92% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Faith
• Population: The population of the racial category (excluding ethnicity) in the Faith is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Faith total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for Faith Population by Race & Ethnicity. You can refer the same here

This study, designed and carried out by the "http://www.asarb.org/" Target="_blank">Association of Statisticians of American Religious Bodies (ASARB), compiled data on 372 religious bodies by county in the United States. Of these, the ASARB was able to gather data on congregations and adherents for 217 religious bodies and on congregations only for 155. Participating bodies included 354 Christian denominations, associations, or communions (including Latter-day Saints, Messianic Jews, and Unitarian/Universalist groups); counts of Jain, Shinto, Sikh, Tao, Zoroastrian, American Ethical Union, and National Spiritualist Association congregations, and counts of congregations and adherents from Baha'i, three Buddhist groupings, two Hindu groupings, four Jewish groupings, and Muslims. The 372 groups reported a total of 356,642 congregations with 161,224,088 adherents, comprising 48.6 percent of the total U.S. population of 331,449,281. Membership totals were estimated for some religious groups.

In January 2024, the ARDA added 21 religious tradition (RELTRAD) variables to this dataset. These variables start at variable #12 (TOTCNG_2020). Categories were assigned based on pages 88-94 in the original "https://www.usreligioncensus.org/index.php/node/1638" Target="_blank">2020 U.S. Religion Census Report.

Visit the "https://www.thearda.com/us-religion/sources-for-religious-congregations-membership-data" Target="_blank">frequently asked questions page for more information about the ARDA's religious congregation and membership data sources.

This dataset is the centerpiece of Pew Research Center's 2014 Religious Landscape Study, a nationally representative telephone survey conducted June 4-Sept. 30, 2014, among a sample of 35,071 U.S. adults. Approximately 60 percent of the interviews were conducted with respondents reached on cellphones (n=21,160) and 40 percent were completed on landlines (n=13,911). A minimum of 300 interviews were conducted in every state and the District of Columbia. Interviewing was conducted in English and Spanish. The survey is estimated to cover 97 percent of the non-institutionalized U.S. adult population; 3 percent of U.S. adults are not reachable by telephone or do not speak English or Spanish well enough to participate in the survey. No adjustments have been made to the data to attempt to account for the small amount of non-coverage.

The size of the national sample is unusually large for a religion survey. There are two main reasons for this. First, the large sample size makes it possible to estimate the religious composition of the U.S. with a high degree of precision. After taking into account the survey's design effect (based on the sample design and survey weights), the margin of error for the results based on the full sample is +/- 0.6 percentage points.

Second, the large sample size makes it possible to describe the characteristics of a wide variety of religious groups, including relatively small groups that cannot be analyzed using data from smaller surveys. With more than 35,000 respondents in total, the Religious Landscape Study includes interviews with roughly 350 in religious groups that account for just 1 percent of the U.S. population, and with 100 or more people in religious groups that are as small as three-tenths of 1 percent of the overall population. For instance, the study includes interviews with 245 Jehovah's Witnesses, a group that accounts for less than 1 percent of the U.S. population and is typically represented by only a few dozen respondents in smaller surveys.

About this dataset

Context

The dataset tabulates the Faith population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Faith. The dataset can be utilized to understand the population distribution of Faith by age. For example, using this dataset, we can identify the largest age group in Faith.

Key observations

The largest age group in Faith, NC was for the group of age 50-54 years with a population of 167 (14.25%), according to the 2021 American Community Survey. At the same time, the smallest age group in Faith, NC was the 85+ years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Faith is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Faith total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

This dataset is a part of the main dataset for Faith Population by Age. You can refer the same here

This study assessed the effects of male inmate religiosity on post-release community adjustment and investigated the circumstances under which these effects were most likely to take place. The researcher carried out this study by adding Federal Bureau of Investigation criminal history information to an existing database (Clear et al.) that studied the relationship between an inmate's religiousness and his adjustment to the correctional setting. Four types of information were used in this study. The first three types were obtained by the original research team and included an inmate values and religiousness instrument, a pre-release questionnaire, and a three-month post-release follow-up phone survey. The fourth type of information, official criminal history reports, was later added to the original dataset by the principal investigator for this study. The prisoner values survey collected information on what the respondent would do if a friend sold drugs from the cell or if inmates of his race attacked others. Respondents were also asked if they thought God was revealed in the scriptures, if they shared their faith with others, and if they took active part in religious services. Information collected from the pre-release questionnaire included whether the respondent attended group therapy, religious groups with whom he would live, types of treatment programs he would participate in after prison, employment plans, how often he would go to church, whether he would be angry more in prison or in the free world, and whether he would be more afraid of being attacked in prison or in the free world. Each inmate also described his criminal history and indicated whether he thought he was able to do things as well as most others, whether he was satisfied with himself on the whole or felt that he was a failure, whether religion was talked about in the home, how often he attended religious services, whether he had friends who were religious while growing up, whether he had friends who were religious while in prison, and how often he participated in religious inmate counseling, religious services, in-prison religious seminars, and community service projects. The three-month post-release follow-up phone survey collected information on whether the respondent was involved with a church group, if the respondent was working for pay, if the respondent and his household received public assistance, if he attended religious services since his release, with whom the respondent was living, and types of treatment programs attended. Official post-release criminal records include information on the offenses the respondent was arrested and incarcerated for, prior arrests and incarcerations, rearrests, outcomes of offenses of rearrests, follow-up period to first rearrest, prison adjustment indicator, self-esteem indicator, time served, and measurements of the respondent's level of religious belief and personal identity. Demographic variables include respondent's faith, race, marital status, education, age at first arrest and incarceration, and age at incarceration for rearrest.

The National Congregations Study (NCS) dataset fills a void in the sociological study of congregations by providing data that can be used to draw a nationally aggregate picture of congregations. Thanks to innovations in sampling techniques, the 1998 NCS data was the first nationally representative sample of American congregations. Subsequent NCS waves were conducted in 2006-07, 2012, and 2018-19.

Like Wave II, Wave IV again included a panel component. In addition to the new cross-section of congregations generated in conjunction with the 2018 GSS, the NCS-IV included all Wave III congregations that were nominated by GSS respondents who participated in the GSS for the first time in 2012. That is, the panel did not include Wave III congregations that had been nominated by GSS respondents who were in the 2012 GSS because they were part of the GSS's own panel of re-interviewees. The 2018-19 NCS, then, includes a subset of congregations that also were interviewed in 2012. A full codebook, prepared by the primary investigator and containing a section with details about the panel datasets, is available for download "https://sites.duke.edu/ncsweb/files/2020/09/NCS-I-IV-Cumulative-Codebook_FINAL_8Sept2020.pdf" Target="_blank">here. The codebook contains the original questionnaire, as well as detailed information on survey methodology, weights, coding, and more.

The "/data-archive?fid=NCSIV" Target="_blank">NCS Cumulative Dataset is also available from the ARDA.

About this dataset

Context

The dataset presents the median household income across different racial categories in Faith. 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 Faith population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 95.14% of the total residents in Faith. Notably, the median household income for White households is $154,330. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $154,330.

https://i.neilsberg.com/ch/faith-nc-median-household-income-by-race.jpeg" alt="Faith median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Faith.
• Median household income: Median household income, adjusting for inflation, presented in 2022-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 Faith median household income by race. You can refer the same here

Anti-Jewish attacks were the most common form of anti-religious group hate crimes in the United States in 2023, with ***** cases. Anti-Islamic hate crimes were the second most common anti-religious hate crimes in that year, with *** incidents.

The substantive common denominator in the surveys is a continuing evaluation of the Reagan presidency. Each survey also contains questions of topical relevance or questions about broader social issues. Respondents were queried about their attitudes towards the arms race and "Star Wars", Ronald Reagan and his domestic and foreign policies, tax reform, the federal deficit, the Vietnam War, Reagan's visit to the military cemetery in Bitburg, Central America, trade policies, the United Nations, AIDS, the Soviet Union, and religion and the Catholic church. One survey contains questions concerning race relations and public figures in New York City. Only New York City residents were interviewed for this particular survey. All surveys contain demographic information on respondents. There is a weight variable for each dataset which must be used in any analysis. Most questions in the USSRNatl survey were part of a New York Times poll (without CBS). Questions 40-44 and 53-56 were part of a CBS poll (without The New York Times). The demographic questions were for joint CBS News/New York Times use. The area code and exchange code variables have been recoded to 9's for reasons of confidentiality. Datasets: DS0: Study-Level Files DS1: January 2-4: Arms Race DS2: January 14-17: January Survey DS3: February 23-27: Vietnam Remembered DS4: April 27-May 3: New York City Race Relations DS5: May 6: Bitburg DS6: May 29-June 2: May Survey DS7: September 9: AIDS DS8: September 15-18: Russian Poll DS9: November 6-10: November Survey DS10: November 18-19: Religion Survey Adults in the United States age 18 and over. Part 4: New York City residents age 18 and over. Stratified random digit dialing.

Ten most important words for the CIRI Freedom of Religion variable.

Despite the importance of trend data for understanding key substantive and theoretical questions on American culture and religion, almost no such data exist. By searching the massive "https://books.google.com/" Target="_blank">Google Books collection, however, the "https://books.google.com/ngrams" Target="_blank">Google Ngram Viewer provides quantitative data on cultural and religious trends over time. The Ngram Viewer searches the entire collection of Google Books and reports on the number of times an Ngram is used annually in the books. Ngrams are most commonly words, but can be any given sequence of text. In an effort to democratize access to these trend data, the ARDA has created a dataset with more than 400 Ngram variables generated by the Ngram Viewer and more than 20 historical trend variables taken from the "https://hsus.cambridge.org/HSUSWeb/HSUSEntryServlet" Target="_blank">Historical Statistics of the United States and other sources. When available, we also included measures on education and clergy training.

The Ngram variables included in this file were generated by using both specific terms and composite data, where scales are created out of similar words (e.g., Atheist scale = atheist + Atheist + atheism + Atheism). These Ngram data were drawn from Google's American English corpus, which contains more than 3 million books. The Ngram variables were calculated as rates and can be interpreted as how often "xyz" is used, as a proportion of the total words in Google's American English Corpus. We would caution, however, that the Ngram data included in this file are based on very simple searches. The Ngram Viewer also allows users to customize measures by using a wildcard search, inflection search, case insensitive search, part-of-speech tags and ngram compositions. For many research projects, users will want to refine the searches to better provide the measure desired. See the "/categories/arda-papers/current-working-papers/reviewing-millions-of-books-charting-cultural-and-religious-trends-with-google-s-ngram-viewer" Target="_blank">Finke and McClure working paper for more details.

This dataset is a longitudinal version of the Churches and Church Membership in the United States studies from 1980 and 1990, and the Religious Congregations and Membership Studies from 2000 and 2010. It contains the adherent and congregation counts of 302 religious groups that participated in at least one of the 1980-2010 data collections. It is very important to understand how this file differs from its standalone counterparts, and its many limitations. Using these data for over-time comparisons without reading any documentation will likely result in inaccurate statistics. Data users are strongly urged to read the paper by Rachel Bacon, Roger Finke and Dale Jones that details all the changes made when creating the longitudinal file. Major changes made to the file include new variable naming schemes, new combined religious groups that correct for schisms and mergers, new adherent counts for the United Methodist Church, and count estimates for missing data among 40 groups. Users can download the paper "https://link.springer.com/article/10.1007/s13644-018-0339-4" Target="_blank">here. Users can download the appendices here: "/ARDA/archives/AppendixA_RCMS.pdf" Target="_blank">Appendix A, "/ARDA/archives/AppendixB_RCMS.pdf" Target="_blank">Appendix B, "/ARDA/archives/AppendixC_RCMS.pdf" Target="_blank">Appendix C.

Visit the "/us-religion/sources-for-religious-congregations-membership-data" Target="_blank">frequently asked questions page for more information about the ARDA's religious congregation and membership data.

Erratum: An error in the variable indicating the total state population by year (TOTPOP) has been corrected. This variable now matches the RCMS state level files for the years 1980, 1990, 2000, and 2010.

The Mission Handbook is a catalog of North American Protestant mission agencies that maintain international ministries and has been published in 22 editions from 1953 to 2017 (Dayton 1976; Missionary Research Library 1953, 1956, 1958, 1960, 1962, 1964, 1966; Missionary Research Library and Missions Advanced Research and Communication Center 1968, 1970; Missions Advanced Research and Communication Center 1973; Newell 2017; Roberts and Siewert 1989; Siewert 1995; Siewert and Kenyon 1993; Siewert and Valdez 1997; Siewert and Welliver 2000; Weber 2010; Weber and Welliver 2007; Welliver and Northcutt 2004; Wilson 1979; Wilson and Siewert 1986). Variables were constructed from key data across these editions. Three separate datasets were constructed with these variables. The first, 'American Protestant Mission Agencies Profiles, 1951-2016 v2.1', covers all 22 editions, prioritizing those data that were the most consistent across all 22 editions. The second, 'American Protestant Mission Agencies Profiles, 2016 v2.1' (this one), only focuses on data from the most recent 22nd edition, and includes additional variables. The third, 'American Protestant Mission Agencies Countries, 1951-2016 v2.1', covers all the countries in which mission agencies declared ministries, from the first to the last edition when an agency mentioned a country in which it operated.

As of March 2023, the 'American Protestant Mission Agencies Profiles, 2016 v2.1' dataset has been updated to correct for erroneous entries of several mission agencies. These changes include correcting for the assignment of unique ID numbers for three organizations already present in previous editions, the removal of two agencies that should not have been previously included, the changing of four ID numbers to fill in gaps in the list of IDs due to the deletions and edits (for the purpose of continuity), and the changing of ID numbers for two unique agencies that shared IDs with previous edition entries that were found to be different agencies than these previous editions. These were edited accordingly and any merging of datasets by the user should be kept within the same version number. These changes are more explicitly summarized in the file's codebook.

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 Faith. 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 Faith, the median household income for the households where the householder is White increased by $79,941(112.11%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $71,309 in 2013 and $151,250 in 2023.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 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 Faith.
• 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 Faith median household income by race. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in Faith, 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 Faith increased by $57,295 (80.72%), 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 7 years and declined for 6 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 Faith median household income. You can refer the same here

About this dataset

Context

The dataset illustrates the median household income in Faith, 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 Faith increased by $53,436 (78.39%), 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 6 years and declined for 5 years.

https://i.neilsberg.com/ch/faith-nc-median-household-income-trend.jpeg" alt="Faith, NC 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 Faith median household income. You can refer the same here