Interspecies human-to-swine IAV transmission occurs globally and contributes to increased IAV diversity in pig populations. We present data that a swine isolate from a 2018-2019 human-to-swine transmission event was shed for multiple days in challenged and contact pigs. By characterizing this introduction through bioinformatic, molecular, and animal experimental approaches, these findings better inform animal health practices and in vaccine decision-making. Since wholly human seasonal H3N2 viruses in the U.S. were not previously identified as being transmissible in pigs (i.e. reverse zoonosis), these findings reveal the interspecies barriers for transmission to pigs may not require significant changes to all human seasonal H3N2.

This special topic poll sought respondents' views on the 1996 presidential election, specifically on retired General Colin Powell's decision not to run for election. Given a ballot that offered President Bill Clinton, Speaker of the House Newt Gingrich, Senate Majority Leader Bob Dole, and Colin Powell as candidates for the presidency, respondents were asked to identify for whom they would vote. Those queried were asked for their opinions regarding Powell's decision not to run for election, the power and role of a Powell endorsement of another candidate, and whether Powell made the right decision. Additional topics covered the Republican primaries and the possibility of a third-party candidate. Demographic variables include sex, race, political party, political orientation, and voter registration history.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Powell: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 192(7.18%) households where the householder is under 25 years old, 790(29.55%) households with a householder aged between 25 and 44 years, 768(28.73%) households with a householder aged between 45 and 64 years, and 923(34.53%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the city of Powell, showcasing varying income levels among different age demographics.

Content

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

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Powell median household income by age. You can refer the same here

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 Powell County. 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 Powell County, the median household income for the households where the householder is White increased by $7,362(13.72%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $53,676 in 2013 and $61,038 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 Powell County.
• 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 Powell County median household income by race. You can refer the same here

Gold prices recover after consecutive weekly losses, trading above $3,260 an ounce as investors await the Federal Reserve's rate decision. Market dynamics shift amid global trade uncertainties.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Powell, AL, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Powell did not include 6, or 7-person households. Across the different household sizes in Powell the mean income is $54,752, and the standard deviation is $18,738. The coefficient of variation (CV) is 34.22%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $22,138. It then further increased to $57,086 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/powell-al-median-household-income-by-household-size.jpeg" alt="Powell, AL median household income, by household size (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.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Powell median household income. You can refer the same here

Small and bigger coding efforts to support Colorado River work. See Folder contents #1-20 below. Most of these efforts are beginning coding efforts and works in progress.

Download data, models, code, and directions at https://doi.org/10.5281/zenodo.5501466.

Find current versions at https://github.com/dzeke/ColoradoRiverCoding.

Explanation of Contents

1. 500PlusPlan - Total costs for different 500,000 acre-feet plan for Lake Mead prices and volumes.
2. BlogDrafts - Preprints of blogs in the series "Encouraging more water conservation in the Colorado River Basin".
3. CombinedPowellMead - Plots of combined Lake Powell and Lake Mead storage over time.
4. EvapCalcs - Plots to show reservoir evaporation for Lakes Mead and Powell as a function of reservoir storage/level. This supports an alternative management paradigm where reservoir evaporation is counted as part of lower basin users consumptive use.
5. GrandCanyonInterveningFlow - Plots of Grand Canyon intervening flow between Lake Powell and Lake Mead to help characterize inflows to Lake Mead.
6. HeadwatersReservoirs - Storage for Upper Basin headwaters reservoirs (Fontenelle, Flaming Gorge).
7. ICS - Plots of intentionally created surplus (ICS) for Lake Mead account balances, puts and takes, limits, and comparison of ICS efforts to mandatory Drought Contigency Plan contributions.
8. InterimShortageGuidelines - Plots of cutbacks in deliveries as a function of Lake Mead level. Both for the Interim Guidelines and newly released Drought Contingency Plan.
9. LakePowellTemperatureScenarios - Calcualtes the Lake Powell release temperatures for different lake levels. Assigns release temperatures to different fish scenarios.
10. LowerBasinAgUses - Plots of CRSS consumptive use input data for Lower Basin states.
11. MeadInflowSimulations - Adapt Lake Mead releases to reservoir inflow. Smulations of Lake Mead draw down, stabilization, and recover for different scenarios of Lake Mead inflow and addition water conservation beyond mandatory targets.
12. MeadPowellPlots - Visualization of the Lake Powell-Lake Mead Equalization rules. This is Powell annual release as a function of Powell storage and Mead storage. Also includes plots that show the reservoir zones.
13. ModelMusings - Pilot flex accounting to encourage more water conservation in a combined Lake Powell-Lake Mead system. Cloud-based interactive model for the Colorado River basin. When participants synchronously connect, they can role play Upper Basin, Lower Basin, Mexico, and other parties. Participants make year-to-year water conservation, consumption, purchase, and sale decisions for their party while they track other players' choices, account balances, reservoir storage, and impacts to Grand Canyon fish.
14. Powell10Year - Plots showing Lake Powell 10-year releases in comparison to Colorado River Compact Article III(d) requirement
15. Pre1922CompactWaterUse - Table of Pre-1922 Compact water use by state.
16. ProtectLakePowell - Figure of tools to protect Lake Powell elevations of 3,525 and 3,490 feet.
17. Runge_MCDM_Analysis - interactive parallel coordinate plot visualization of the 18 objectives use in the analysis by Runge et al of Glend Canyon Dam management alternatives. Runge, M. C., et al. (2015). "Decision analysis to support development of the Glen Canyon Dam long-term experimental and management plan." 2015-5176, U.S. Geological Survey, Reston, VA. http://pubs.er.usgs.gov/publication/sir20155176.
18. TimeToDeadPool - a steady deterministic scenario analysis of the number of years to hit Lake Mead dead pool (or other target elevation) given a starting storage volume and steady reservoir inflow. Used to explore scenarios of inflow from 7 to 14 maf per year every year and identify potential effects of additional voluntary water conservation.
19. TribalWater - Digitizes some of the data in the Tribal Water Study by the USBR.
20. UpperBasinAgriculture - Costs of demand management in Upper Basin.

License

BSD-3-Clause (https://github.com/dzeke/ColoradoRiverFutures/blob/master/LICENSE). Available to use, modify, distribute, etc. for free. All modified or derivative products must use the same BSD-3-Clause license. This license keeps this work in the public domain forever.

The link between taxes and occupational choices is central for understanding the welfare impacts of income taxes. Just as taxes distort the labor-leisure decision, they may also distort the wage-amenity decision. Yet, there have been few studies on the full response along this margin. When tax rates increase, workers favor jobs with lower wages and more amenities. We introduce a two-step methodology which uses compensating differentials to characterize the tax elasticity of occupational choice. We estimate a significant compensated elasticity of 0.03, implying that a 10 percent increase in the net-oftax rate causes workers to change to a 0.3 percent higher wage job. (JEL H24, H31, J22, J24, J31)

Additional file 1. An excel spreadsheet containing four tabs with Supplemental Tables S1-S4. Table S1. provides a list of the 74 gene-disease pairs included on all commercial panels with ASQM criteria scores, total score, and designated category for each gene-disease pair. Table S2. lists 88 additional gene-disease pairs that were scored for this manuscript following the publication by Milko et al. [19], including individual ASQM criteria scores, total score, and designated category for each gene-disease pair. Table S3. lists the 77 genes that appeared on one or more commercial laboratory NBS panels, but were designated by our group as ASQM Category 2 because they have childhood-onset but lower or no actionability. Table S4. includes 249 genes that were designated by our group as ASQM Category 1 due to childhood onset and high actionability, but were not listed on any of the four commercial lab NBS panels.

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and backscatter data were collected along 2,312 kilometers of tracklines (331 square kilometers) of the lake floor to regionally define its depth and morphology, as well as the character and distribution of lake-floor sediments. Ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits near the confluences of the San Juan and Colorado Rivers.

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and backscatter data were collected along 2,312 kilometers of tracklines (331 square kilometers) of the lake floor to regionally define its depth and morphology, as well as the character and distribution of lake-floor sediments. Ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits near the confluences of the San Juan and Colorado Rivers.

This service provides visual representation of North Carolina Municipal Boundaries defined through the 2021-2022 Powell Bill.This service was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). Municipal boundaries are recognized as a base cartographic layer for location analysis. This data is current for the fiscal year 2021 - 2022. Municipal boundaries updated this year were based on towns that reported annexation changes to the NC Office of Secretary of State. This may not be representative of all towns with boundary changes this year.The Municipal Boundaries service is based on the Powell Bill Program maps for the 2021-2022 fiscal year. Municipalities in North Carolina participating in the Powell Bill Program are required to submit to NCDOT on a regular basis. These datasets include incorporated municipalities in North Carolina that participate in the Powell Bill Program. Boundaries of municipalities which do not participate in the Powell Bill Program are also included in this data. Sources for the boundaries vary in scale and format as provided by the individual Municipalities.For more detailed information about the Powell Bill Program: https://connect.ncdot.gov/municipalities/State-Street-Aid/pages/default.aspxThe Spatial Data Operations Group at the North Carolina Department of Information Technology-Transportation, GIS Unit serves as the data steward of this service, on behalf of the North Carolina Department of Transportation, Powell Bill (State Street-Aid) Program Unit. This data is updated annually, first quarter (usually in February).MetadataThe metadata for the contained layer of the NCDOT City Boundaries Service is available through the following link:Municipal BoundariesPoint of ContactNorth Carolina Department of Information Technology -Transportation, GIS UnitGIS Data and Services ConsultantContact information:gishelp@ncdot.govCentury Center – Building B1020 Birch Ridge DriveRaleigh, NC 27610Hours of service: 9:00am - 5:00pm Monday – FridayContact instructions: Please send an email with any issues, questions, or comments regarding the City Boundaries data. If it is an immediate need, please indicate as such in the subject line in an email.NCDOT GIS Unit GO! NC Product Team

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and backscatter data were collected along 2,312 kilometers of tracklines (331 square kilometers) of the lake floor to regionally define its depth and morphology, as well as the character and distribution of lake-floor sediments. Ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits near the confluences of the San Juan and Colorado Rivers.

This service provides visual representation of North Carolina Municipal Boundaries defined through the 2021-2022 Powell Bill. This data comes with the added TID attribute, listing the public safety terminal ID’s (TID) on the Division of Criminal Information (DCI) network that reside and are responsible for those areas.This service was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). Municipal boundaries are recognized as a base cartographic layer for location analysis. This data is current for the fiscal year 2021 - 2022. Municipal boundaries updated this year were based on towns that reported annexation changes to the NC Office of Secretary of State. This may not be representative of all towns with boundary changes this year.The Municipal Boundaries service is based on the Powell Bill Program maps for the 2021-2022 fiscal year. Municipalities in North Carolina participating in the Powell Bill Program are required to submit to NCDOT on a regular basis. These datasets include incorporated municipalities in North Carolina that participate in the Powell Bill Program. Boundaries of municipalities which do not participate in the Powell Bill Program are also included in this data. Sources for the boundaries vary in scale and format as provided by the individual Municipalities.For more detailed information about the Powell Bill Program:https://connect.ncdot.gov/municipalities/State-Street-Aid/pages/default.aspxThe Spatial Data Operations Group at the North Carolina Department of Information Technology-Transportation, GIS Unit serves as the data steward of this service, on behalf of the North Carolina Department of Transportation, Powell Bill (State Street-Aid) Program Unit. This data is updated annually, first quarter (usually in February).MetadataThe metadata for the contained layer of the NCDOT Municipal Boundaries Service is available through the following link:Municipal Boundaries PolygonPoint of Contact North Carolina Department of Information Technology -Transportation, GIS UnitGIS Data and Services ConsultantContact information:gishelp@ncdot.govCentury Center – Building B1020 Birch Ridge DriveRaleigh, NC 27610Hours of service: 9:00am - 5:00pm Monday – FridayContact instructions: Please send an email with any issues, questions, or comments regarding the Municipal Boundaries data. If it is an immediate need, please indicate as such in the subject line in an email.NCDOT GIS Unit GO! NC Product Team

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and backscatter data were collected along 2,312 kilometers of tracklines (331 square kilometers) of the lake floor to regionally define its depth and morphology, as well as the character and distribution of lake-floor sediments. Ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits near the confluences of the San Juan and Colorado Rivers.

High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and backscatter data were collected along 2,312 kilometers of tracklines (331 square kilometers) of the lake floor to regionally define its depth and morphology, as well as the character and distribution of lake-floor sediments. Ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits near the confluences of the San Juan and Colorado Rivers.

Shelter medicine has grown considerably over recent years with many shelters hiring veterinarians for the first time or expanding their veterinary teams. As a result, there is a dearth of shelter veterinarians and retention has become a key concern for the field. The goal of this study was to describe veterinarians' perceptions of shelter medicine, and their feelings of job satisfaction, loneliness, and professional fulfillment. The sample included 52 shelter veterinarians, 39 previous shelter veterinarians and 130 non-shelter veterinarians (n = 221) who each completed an online survey. Current and previous shelter veterinarians had comparable perceptions regarding the appeal of most shelter medicine duties, although there were differences in the duties they performed within their job. More current shelter veterinarians participated in population management, policy development, administrative duties, and decision-making for individual patients (euthanasia, treatment, and adoptability). Considering other employment attributes, we found previous shelter veterinarians had lower mean rankings than current and non-shelter veterinarians regarding their interactions with administrative staff, ability to be part of a multiple veterinarian team and the availability of mentorship. Loneliness and professional fulfillment were mostly comparable between the groups, although previous shelter veterinarians were more likely to report they felt unhappy (X2 = 16.60, p = 0.02) and left out at work (X2 = 12.43, p = 0.02). Our findings suggest veterinarians who participate in decision-making for patients and shelter management procedures may be more willing to continue working in shelter medicine. Animal shelters should also employ strategies to improve workplace relationships and offer career development opportunities to improve job satisfaction and retention of veterinarians within the field.

description: The Office of the Legal Adviser publishes the annual Digest of United States Practice in International Law to provide the public with a historical record of the views and practice of the Government of the United States in public and private international law. "In his introduction to the 2004 volume, then Legal Adviser John B. Bellinger, III, stated in part: "Significant legal issues arose throughout 2004 related to the response to international terrorism, compliance with international human rights and humanitarian law, and arms control and nonproliferation throughout the world, including Iraq and Afghanistan, Israel, Gaza and the West Bank, North Korea, Iran, Libya and Sudan. To provide but a few examples, the United States entered into the first agreements under the Proliferation Security Initiative, Secretary Powell testified to the commission of genocide in Darfur, and the U.S. Supreme Court issued two decisions relating to detention of enemy combatants. "The United States also continued to be actively engaged, through negotiation of treaties, arbitrations, diplomatic initiatives, and domestic litigation, in legal issues related to global challenges including international criminal law, the law of the sea, environment, trade and investment, consular functions, privileges and immunities, international claims and state responsibility, commercial and family law, treaty practice, cultural property, and sanctions. In 2004, among other things, the United States undertook to implement a judgment of the International Court of Justice in Avena and other Mexican Nationals (Mexico v. United States) concerning U.S. violations of Article 36 of the Vienna Convention on Consular Relations, and the U.S. Supreme Court issued opinions concerning retroactivity of the Foreign Sovereign Immunities Act and international law violations providing a cause of action under the Alien Tort Statute. . . ."; abstract: The Office of the Legal Adviser publishes the annual Digest of United States Practice in International Law to provide the public with a historical record of the views and practice of the Government of the United States in public and private international law. "In his introduction to the 2004 volume, then Legal Adviser John B. Bellinger, III, stated in part: "Significant legal issues arose throughout 2004 related to the response to international terrorism, compliance with international human rights and humanitarian law, and arms control and nonproliferation throughout the world, including Iraq and Afghanistan, Israel, Gaza and the West Bank, North Korea, Iran, Libya and Sudan. To provide but a few examples, the United States entered into the first agreements under the Proliferation Security Initiative, Secretary Powell testified to the commission of genocide in Darfur, and the U.S. Supreme Court issued two decisions relating to detention of enemy combatants. "The United States also continued to be actively engaged, through negotiation of treaties, arbitrations, diplomatic initiatives, and domestic litigation, in legal issues related to global challenges including international criminal law, the law of the sea, environment, trade and investment, consular functions, privileges and immunities, international claims and state responsibility, commercial and family law, treaty practice, cultural property, and sanctions. In 2004, among other things, the United States undertook to implement a judgment of the International Court of Justice in Avena and other Mexican Nationals (Mexico v. United States) concerning U.S. violations of Article 36 of the Vienna Convention on Consular Relations, and the U.S. Supreme Court issued opinions concerning retroactivity of the Foreign Sovereign Immunities Act and international law violations providing a cause of action under the Alien Tort Statute. . . ."

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Powell. The dataset can be utilized to gain insights into gender-based income distribution within the Powell population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Powell, among individuals aged 15 years and older with income, there were 2,478 men and 2,306 women in the workforce. Among them, 996 men were engaged in full-time, year-round employment, while 564 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 10.44% fell within the income range of under $24,999, while 7.27% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 12.15% of men in full-time roles earned incomes exceeding $100,000, while 10.82% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar 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 Powell median household income by race. You can refer the same here

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 Powell. 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 2011 and 2021, 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 Powell, the median household income for the households where the householder is White increased by $9,987(5.82%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $171,656 in 2011 and $181,643 in 2021.
• Black or African American: In Powell, the median household income for Black or African American households was $184,461 in 2011(2022 inflation-adjusted dollars). However there is no reported data for 2021, indicating a lack of information for this specific year.
• 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

https://i.neilsberg.com/ch/powell-oh-median-household-income-by-race-trends.jpeg" alt="Powell, OH median household income trends across races (2011-2021, 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.

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 Powell.
• 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
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are 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 Powell median household income by race. You can refer the same here