The document analyzes demographic shifts at the census tract level in the 20-county Atlanta region between 2000-2019. Key findings include:
- 53% of tracts experienced some change, with 12% seeing population growth and 28% experiencing increased poverty concentration.
- Population growth tracts saw higher incomes and education levels and became wealthier and more racially diverse. Poverty concentration tracts saw lower incomes, declining home values, and increased percentages of low-income residents of color.
- Population growth occurred in outer suburbs and parts of Atlanta, while poverty concentrated in the southern suburbs and parts of Atlanta. The analysis examines changes in demographics, income, housing costs, and education across different types of tracts
This document discusses regional economics and rural economic decline. It begins with an outline and definitions of key topics such as rural communities and metropolitan vs non-metropolitan areas. It then discusses the significant economic decline seen in many rural communities across the country in recent decades, as shown by data on uneven growth and recovery across places. The document poses the question of what, if anything, states and localities should do to intervene when communities are struggling economically.
Internal migration and the development nexus,the case of bangladeshZakiul Alam
Internal migration in Bangladesh has greatly impacted development. Rural-urban migration is a major driver of urban growth and demographic change. Migrants are predominantly young, low-income individuals from rural areas who move to cities for work. They face numerous challenges including lack of affordable housing, poor access to basic services, and health issues. While migration provides economic opportunities, policies are needed to maximize its benefits and protect migrants' rights.
The document provides data about Clinton County, Indiana from 2000-2013/2020. It covers topics such as demography, economy, and labor market. Some key findings are:
- The county's population declined slightly between 2000-2013 due to domestic migration out of the county outpacing international migration and natural growth.
- The population is aging as the proportion of residents over 50 increased while the proportion of working-age residents declined.
- The Hispanic population doubled between 2000-2013, increasing their share of the county's population.
- Educational attainment rose but nearly half of adults still only have a high school degree.
- The number of business establishments grew 36% from 2000-2011, primarily through new
The document provides demographic, economic, and labor market data about Tippecanoe County, Indiana from 2000-2013. Some key findings include:
- The county's population increased 21% from 2000-2013, largely due to natural increase and international migration.
- Educational attainment among adults 25+ improved, with 43% now having at least a college degree.
- The number of business establishments grew 78% from 2000-2011, primarily through new business formation rather than relocation.
- Most establishments are small, with 58% having 2-9 employees in 2011.
The document describes Data Snapshot Reports produced by the Purdue Center for Regional Development (PCRD) that provide concise summaries of demographic and economic trends impacting counties in Indiana. The reports use graphics and data on topics like labor, demography, commuting, and economy to help local leaders understand changes in their county and region. They highlight national trends affecting counties and how understanding local data can help accelerate strategic planning to build prosperous futures. The reports aim to provide a common foundation for collaboration among leaders addressing economic and social shifts.
The document provides demographic, economic, and labor market data about Daviess County, Indiana from 2000-2013/2011. It shows that the county's population grew 9% between 2000-2013 primarily due to natural increase. The number of establishments in the county increased 61% between 2000-2011 mostly through new business formation. While educational attainment among adults has risen, many still only have a high school degree or less. The data can help guide local decision-making.
Usa report ppt, US census data, demographics, presentation,study area report,...dbpdata
Demographics Report for the neighborhood of your choice from US census data. US census data, demographics, presentation,study area report, demographics commercial real estate
The Emerging “Quiet Revolution” in African Agrifood Systems: Challenges for Mozambique - David Tschirley, Michael Dolislager, Jason Snyder, Thomas Reardon
Presentation at MSU/IFPRI conference on “Agricultural Public Investments, Policies, and Markets for Mozambique’s Food Security and Economic Transformation”, Maputo, Mozambique, 20 November 2014
This document discusses regional economics and rural economic decline. It begins with an outline and definitions of key topics such as rural communities and metropolitan vs non-metropolitan areas. It then discusses the significant economic decline seen in many rural communities across the country in recent decades, as shown by data on uneven growth and recovery across places. The document poses the question of what, if anything, states and localities should do to intervene when communities are struggling economically.
Internal migration and the development nexus,the case of bangladeshZakiul Alam
Internal migration in Bangladesh has greatly impacted development. Rural-urban migration is a major driver of urban growth and demographic change. Migrants are predominantly young, low-income individuals from rural areas who move to cities for work. They face numerous challenges including lack of affordable housing, poor access to basic services, and health issues. While migration provides economic opportunities, policies are needed to maximize its benefits and protect migrants' rights.
The document provides data about Clinton County, Indiana from 2000-2013/2020. It covers topics such as demography, economy, and labor market. Some key findings are:
- The county's population declined slightly between 2000-2013 due to domestic migration out of the county outpacing international migration and natural growth.
- The population is aging as the proportion of residents over 50 increased while the proportion of working-age residents declined.
- The Hispanic population doubled between 2000-2013, increasing their share of the county's population.
- Educational attainment rose but nearly half of adults still only have a high school degree.
- The number of business establishments grew 36% from 2000-2011, primarily through new
The document provides demographic, economic, and labor market data about Tippecanoe County, Indiana from 2000-2013. Some key findings include:
- The county's population increased 21% from 2000-2013, largely due to natural increase and international migration.
- Educational attainment among adults 25+ improved, with 43% now having at least a college degree.
- The number of business establishments grew 78% from 2000-2011, primarily through new business formation rather than relocation.
- Most establishments are small, with 58% having 2-9 employees in 2011.
The document describes Data Snapshot Reports produced by the Purdue Center for Regional Development (PCRD) that provide concise summaries of demographic and economic trends impacting counties in Indiana. The reports use graphics and data on topics like labor, demography, commuting, and economy to help local leaders understand changes in their county and region. They highlight national trends affecting counties and how understanding local data can help accelerate strategic planning to build prosperous futures. The reports aim to provide a common foundation for collaboration among leaders addressing economic and social shifts.
The document provides demographic, economic, and labor market data about Daviess County, Indiana from 2000-2013/2011. It shows that the county's population grew 9% between 2000-2013 primarily due to natural increase. The number of establishments in the county increased 61% between 2000-2011 mostly through new business formation. While educational attainment among adults has risen, many still only have a high school degree or less. The data can help guide local decision-making.
Usa report ppt, US census data, demographics, presentation,study area report,...dbpdata
Demographics Report for the neighborhood of your choice from US census data. US census data, demographics, presentation,study area report, demographics commercial real estate
The Emerging “Quiet Revolution” in African Agrifood Systems: Challenges for Mozambique - David Tschirley, Michael Dolislager, Jason Snyder, Thomas Reardon
Presentation at MSU/IFPRI conference on “Agricultural Public Investments, Policies, and Markets for Mozambique’s Food Security and Economic Transformation”, Maputo, Mozambique, 20 November 2014
The document discusses population migration from rural to urban areas in Bangladesh. It identifies several factors that contribute to migration, including natural factors like monsoon flooding and riverbank erosion, as well as economic factors such as poverty, unemployment, and seasonal food insecurity in rural areas. It also examines the social structure and social stratification in Bangladesh, noting traditional class distinctions had little importance and identifying key social classes based on employment status.
Population Estimates, August 2015 SnapshotARCResearch
The Atlanta region population grew by 60,300 people between 2014 and 2015 to a total of 4,332,600 residents in 2015. Gwinnett County had the largest growth over this period, adding 15,700 new residents. While population growth has rebounded since 2010, the annual growth rate remains below historical levels from 1990 to 2010. Residential building permits, a key indicator of future population growth, have also remained well below their 30-year average of 35,000 permits per year. Areas with high concentrations of new residential building permits, especially single family homes, correspond to areas experiencing the greatest population increases per square mile between 2010 and 2015.
This document analyzes the post-conflict development of four African countries from 1990-2010: Rwanda, Burundi, Liberia, and Sierra Leone. It discusses the challenges in objectively measuring and comparing development across countries. A scoring scheme is used to rank countries based on indicators like HDI, GDP, poverty, inequality, health, education. Liberia is used as a case study, outlining its history of conflict and tracking economic and human development indicators like GDP, GDP per capita, poverty, refugees over time. While recovery is slow, targets aim to rebuild the economy, reduce debt, and improve living standards for all citizens using a bottom-up development approach.
Seasonal migration for livelihood in indiaAnoop K Mishra
This document discusses types of migration and theories of migration based on a study by Rao in 2001. It then summarizes findings from a study comparing migration patterns in Andhra Pradesh and Madhya Pradesh. Some key findings include: in AP 25% of households migrated compared to 52% in MP; in AP 16% of income came from outside village work while over 50% did in MP; land ownership negatively correlated with migration in MP but not AP; scheduled tribes and castes migrated more in both states. Skilled migration helped improve lives through investments in homes, education, and marriages.
The document provides data on demographics, economic, and labor market conditions in Lake County from 2000-2012. Some key findings include:
- The population grew 2% to nearly 507,000, primarily through natural increase as out-migration exceeded in-migration. The population is aging as those under 50 declined.
- The number of establishments doubled to over 32,000, mostly through new startups. Most establishments have 1-9 employees.
- The largest industry is health care/social assistance, employing 34,000. Manufacturing and retail also employ over 25,000 each.
In its fifth Rural Research Note, HAC examines Homeownership in Rural America . In rural and small town communities, homeownership rates are even higher than the national level. In 2010, approximately 17.9 million, or 71.6 percent of occupied homes in rural communities were owned by their inhabitants. Consistent with national trends, the rural homeownership rate declined by two percentage points from the year 2000.
This research note includes analysis of:
Homeownership across the rural spectrum;
True homeownership rates in rural America; and Homeownership rates decline between 2000 and 2010.
Cities grow due to both push and pull factors related to migration. Key push factors driving rural to urban migration include lack of land, food, and opportunities in rural areas, as well as the pull of potential work and higher wages in cities. Migration leads to changes in birth and death rates in cities as people adopt an urban lifestyle with better access to education, healthcare, and family planning services compared to rural areas. Cities also depend on wealth inequality as migrants have a wide range of incomes and access to services.
This paper analyzes poverty and growth trends across zones and sectors in Nigeria between 2004-2010. It finds that poverty increased nationwide over this period, with higher rates in northern zones and rural areas. Poverty-growth elasticity was below 1 and lower in northern/rural areas. Decomposition analyses show growth was the main factor reducing poverty, while increasing inequality weakened poverty reduction. Population shifts towards rural areas also increased poverty, particularly in northern zones. Human capital played a smaller role in explaining income/poverty differences between zones and sectors over time. Spatial and sectoral disparities in growth pro-poorness contributed to Nigeria's weak overall poverty reduction.
The document provides demographic, economic, and labor market data about Steuben County, Indiana from 2000-2014. It shows that the total population increased slightly and is aging, with more residents over 50. Educational attainment among adults increased, though many still only have a high school degree. The number of establishments and jobs grew, led by manufacturing, retail, and healthcare. Four of the top five industries lost jobs during this period, with manufacturing declining the most.
This report summarizes research on the relationship between migration and happiness. It finds:
1. Rural-urban migration within countries is much larger than international migration, but both types of migration are increasing with globalization.
2. Migrants on average gain in happiness by moving from less happy to happier countries, though some migrants are less happy. Immigrant happiness depends partly on how accepting the local population is.
3. Rural-urban migrants in China reported moderate gains in happiness from moving to cities, though their happiness did not surpass urban residents who had always lived in cities. Overall, most but not all migrants experience happiness gains from relocating.
This report summarizes findings on the happiness effects of both internal and international migration. Regarding internal migration, rural-urban migration within developing countries has been far larger than international migration, with over 1.5 billion people moving to cities in developing nations between 1990-2015. Studies in China find that rural-urban migrants and urban residents report higher levels of happiness than those remaining in rural areas. For international migration, the number of global migrants increased by 90 million between 1990-2015, though this is dwarfed by internal migration. On average, international migrants experience moderate gains in happiness from moving, but there is significant variation depending on country of origin and destination happiness levels as well as migrant acceptance in destination countries.
This document summarizes research on the relationship between migration and happiness. It finds that:
1) Both rural-urban migration within countries and international migration between countries have significantly increased in recent decades due to globalization, with rural-urban migration being an order of magnitude larger.
2) On average, international migrants experience a gain in happiness when moving from less happy to more happy countries, though some migrants are less happy. Migrant happiness depends partly on conditions in their origin and destination countries.
3) Rural-urban migrants in China were found to have significantly higher levels of happiness than those remaining in rural areas, though slightly less happy than long-term urban residents, suggesting migration generally improves well-being.
The document discusses key concepts relating to population, including birth rate, mortality rate, life expectancy, and population density. It summarizes the views of Thomas Malthus and Ester Boserup on the relationship between population growth and food supply. It also describes and compares the rural area of Longton and inner-city area of Fishwick in Preston, highlighting differences in housing, ethnicity, age, wealth, employment, and services between the two locations. Finally, it discusses impacts and issues relating to an aging population in the UK and pros and cons of using the Demographic Transition Model to understand population change over time.
Migration Flows in Latin America: National and Subnational Challenges as the ...José Antonio Ardavín
Migration flows in Latin America have increased substantially in the past 15 years. The total number of immigrants residing in Latin American countries, both from within and outside the region, rose 45% between 2000-2015. Many South American countries now receive more immigrants from other South American countries than from outside the region. Managing migration presents challenges at both the national and sub-national level for governments and requires long-term development solutions as Latin America becomes a higher income region.
Unexplained persistence: Essential facts for a theory of postcolonial imperia...Alan Freeman
Slides for paper presented at the annual conference of the World Association for Political Economy (WAPE) hosted by the Geopolitical Economy Research Group (GERG) at the University of Manitoba, Winnipeg, July 2019. Short introductory video is on utube at https://www.youtube.com/watch?v=Rt4mWagp58Q&feature=youtu.be
Trends in global birth rates can be attributed to social, economic, and political factors. As income per person increases over time, crude birth rates generally decrease. Population growth rates increased substantially between 1930-1960 and 1960-1990 but have since declined in most regions.
Spatial patterns show Asia and Africa have many births while Europe, North America, South America have moderate births. Australia and Canada have very few births. The highest fertility rates are found among the poorest countries, while most developed countries have brought birth rates down.
As income rises, crude death rates typically fall due to improvements in food, water, sanitation, and healthcare. Life expectancies have largely risen in recent decades but have fluctuated in
This document provides a housing strategy for Dubois County. It analyzes regional competition, the local housing market, demand factors, and proposes a housing strategy. Key points include: Dubois County's population and housing growth has slowed compared to surrounding counties. The local housing market shows recovery from the recession but a lack of affordable and alternative housing options. The strategy proposes pilot projects to develop affordable and diverse housing, especially in Jasper, to attract and retain employees.
The document provides an overview and analysis of demographic and economic indicators for the Radius Indiana region, which comprises 8 counties in south central Indiana. Some key findings include:
1) The population of the Radius region grew more slowly than the rest of Indiana from 2002-2012 and has an aging population profile.
2) Educational attainment levels are lower in the Radius region, which may limit its ability to attract high-quality jobs. However, high school graduation rates exceed the state average.
3) The Radius region lags the rest of Indiana in measures of innovation like patents per capita and average earnings are lower, especially for women.
4) Unemployment peaked at a lower level in the Radius region
RS June 2021: Neighborhood Change Dynamics UpdatedARCResearch
The document analyzes demographic shifts in census tracts in the 20-county Atlanta region from 2000 to 2019. It finds that 53% of census tracts experienced some form of change over this period. 12% saw significant population growth, with higher incomes and more racial/ethnic diversity. 28% saw increased poverty concentration, with lower incomes and more diversity. The regions saw the most population growth in outer suburbs and northern Atlanta, while population declined mostly in southern Atlanta. Areas of poverty concentration were widespread in the inner suburbs, while poverty displacement was concentrated in central Atlanta.
Housing Virginia Rural Report - Nov 2016Alise Newman
This document provides an overview of housing needs in rural Virginia. It finds that while rural populations are growing more slowly than urban areas, the rural population is aging significantly. Many young adults are moving away from rural communities for jobs while the senior population remains. As a result, poverty and unemployment rates are higher in rural areas, especially in the Mountain and Southside regions. The report also notes that affordable housing is lacking, with nearly a third of rural households paying over 30% of their income on housing costs. Direct feedback from rural housing providers identified additional needs around housing for seniors, rental options, homeownership, and improving existing housing stock. The report concludes with policy recommendations in these areas.
The document discusses population migration from rural to urban areas in Bangladesh. It identifies several factors that contribute to migration, including natural factors like monsoon flooding and riverbank erosion, as well as economic factors such as poverty, unemployment, and seasonal food insecurity in rural areas. It also examines the social structure and social stratification in Bangladesh, noting traditional class distinctions had little importance and identifying key social classes based on employment status.
Population Estimates, August 2015 SnapshotARCResearch
The Atlanta region population grew by 60,300 people between 2014 and 2015 to a total of 4,332,600 residents in 2015. Gwinnett County had the largest growth over this period, adding 15,700 new residents. While population growth has rebounded since 2010, the annual growth rate remains below historical levels from 1990 to 2010. Residential building permits, a key indicator of future population growth, have also remained well below their 30-year average of 35,000 permits per year. Areas with high concentrations of new residential building permits, especially single family homes, correspond to areas experiencing the greatest population increases per square mile between 2010 and 2015.
This document analyzes the post-conflict development of four African countries from 1990-2010: Rwanda, Burundi, Liberia, and Sierra Leone. It discusses the challenges in objectively measuring and comparing development across countries. A scoring scheme is used to rank countries based on indicators like HDI, GDP, poverty, inequality, health, education. Liberia is used as a case study, outlining its history of conflict and tracking economic and human development indicators like GDP, GDP per capita, poverty, refugees over time. While recovery is slow, targets aim to rebuild the economy, reduce debt, and improve living standards for all citizens using a bottom-up development approach.
Seasonal migration for livelihood in indiaAnoop K Mishra
This document discusses types of migration and theories of migration based on a study by Rao in 2001. It then summarizes findings from a study comparing migration patterns in Andhra Pradesh and Madhya Pradesh. Some key findings include: in AP 25% of households migrated compared to 52% in MP; in AP 16% of income came from outside village work while over 50% did in MP; land ownership negatively correlated with migration in MP but not AP; scheduled tribes and castes migrated more in both states. Skilled migration helped improve lives through investments in homes, education, and marriages.
The document provides data on demographics, economic, and labor market conditions in Lake County from 2000-2012. Some key findings include:
- The population grew 2% to nearly 507,000, primarily through natural increase as out-migration exceeded in-migration. The population is aging as those under 50 declined.
- The number of establishments doubled to over 32,000, mostly through new startups. Most establishments have 1-9 employees.
- The largest industry is health care/social assistance, employing 34,000. Manufacturing and retail also employ over 25,000 each.
In its fifth Rural Research Note, HAC examines Homeownership in Rural America . In rural and small town communities, homeownership rates are even higher than the national level. In 2010, approximately 17.9 million, or 71.6 percent of occupied homes in rural communities were owned by their inhabitants. Consistent with national trends, the rural homeownership rate declined by two percentage points from the year 2000.
This research note includes analysis of:
Homeownership across the rural spectrum;
True homeownership rates in rural America; and Homeownership rates decline between 2000 and 2010.
Cities grow due to both push and pull factors related to migration. Key push factors driving rural to urban migration include lack of land, food, and opportunities in rural areas, as well as the pull of potential work and higher wages in cities. Migration leads to changes in birth and death rates in cities as people adopt an urban lifestyle with better access to education, healthcare, and family planning services compared to rural areas. Cities also depend on wealth inequality as migrants have a wide range of incomes and access to services.
This paper analyzes poverty and growth trends across zones and sectors in Nigeria between 2004-2010. It finds that poverty increased nationwide over this period, with higher rates in northern zones and rural areas. Poverty-growth elasticity was below 1 and lower in northern/rural areas. Decomposition analyses show growth was the main factor reducing poverty, while increasing inequality weakened poverty reduction. Population shifts towards rural areas also increased poverty, particularly in northern zones. Human capital played a smaller role in explaining income/poverty differences between zones and sectors over time. Spatial and sectoral disparities in growth pro-poorness contributed to Nigeria's weak overall poverty reduction.
The document provides demographic, economic, and labor market data about Steuben County, Indiana from 2000-2014. It shows that the total population increased slightly and is aging, with more residents over 50. Educational attainment among adults increased, though many still only have a high school degree. The number of establishments and jobs grew, led by manufacturing, retail, and healthcare. Four of the top five industries lost jobs during this period, with manufacturing declining the most.
This report summarizes research on the relationship between migration and happiness. It finds:
1. Rural-urban migration within countries is much larger than international migration, but both types of migration are increasing with globalization.
2. Migrants on average gain in happiness by moving from less happy to happier countries, though some migrants are less happy. Immigrant happiness depends partly on how accepting the local population is.
3. Rural-urban migrants in China reported moderate gains in happiness from moving to cities, though their happiness did not surpass urban residents who had always lived in cities. Overall, most but not all migrants experience happiness gains from relocating.
This report summarizes findings on the happiness effects of both internal and international migration. Regarding internal migration, rural-urban migration within developing countries has been far larger than international migration, with over 1.5 billion people moving to cities in developing nations between 1990-2015. Studies in China find that rural-urban migrants and urban residents report higher levels of happiness than those remaining in rural areas. For international migration, the number of global migrants increased by 90 million between 1990-2015, though this is dwarfed by internal migration. On average, international migrants experience moderate gains in happiness from moving, but there is significant variation depending on country of origin and destination happiness levels as well as migrant acceptance in destination countries.
This document summarizes research on the relationship between migration and happiness. It finds that:
1) Both rural-urban migration within countries and international migration between countries have significantly increased in recent decades due to globalization, with rural-urban migration being an order of magnitude larger.
2) On average, international migrants experience a gain in happiness when moving from less happy to more happy countries, though some migrants are less happy. Migrant happiness depends partly on conditions in their origin and destination countries.
3) Rural-urban migrants in China were found to have significantly higher levels of happiness than those remaining in rural areas, though slightly less happy than long-term urban residents, suggesting migration generally improves well-being.
The document discusses key concepts relating to population, including birth rate, mortality rate, life expectancy, and population density. It summarizes the views of Thomas Malthus and Ester Boserup on the relationship between population growth and food supply. It also describes and compares the rural area of Longton and inner-city area of Fishwick in Preston, highlighting differences in housing, ethnicity, age, wealth, employment, and services between the two locations. Finally, it discusses impacts and issues relating to an aging population in the UK and pros and cons of using the Demographic Transition Model to understand population change over time.
Migration Flows in Latin America: National and Subnational Challenges as the ...José Antonio Ardavín
Migration flows in Latin America have increased substantially in the past 15 years. The total number of immigrants residing in Latin American countries, both from within and outside the region, rose 45% between 2000-2015. Many South American countries now receive more immigrants from other South American countries than from outside the region. Managing migration presents challenges at both the national and sub-national level for governments and requires long-term development solutions as Latin America becomes a higher income region.
Unexplained persistence: Essential facts for a theory of postcolonial imperia...Alan Freeman
Slides for paper presented at the annual conference of the World Association for Political Economy (WAPE) hosted by the Geopolitical Economy Research Group (GERG) at the University of Manitoba, Winnipeg, July 2019. Short introductory video is on utube at https://www.youtube.com/watch?v=Rt4mWagp58Q&feature=youtu.be
Trends in global birth rates can be attributed to social, economic, and political factors. As income per person increases over time, crude birth rates generally decrease. Population growth rates increased substantially between 1930-1960 and 1960-1990 but have since declined in most regions.
Spatial patterns show Asia and Africa have many births while Europe, North America, South America have moderate births. Australia and Canada have very few births. The highest fertility rates are found among the poorest countries, while most developed countries have brought birth rates down.
As income rises, crude death rates typically fall due to improvements in food, water, sanitation, and healthcare. Life expectancies have largely risen in recent decades but have fluctuated in
This document provides a housing strategy for Dubois County. It analyzes regional competition, the local housing market, demand factors, and proposes a housing strategy. Key points include: Dubois County's population and housing growth has slowed compared to surrounding counties. The local housing market shows recovery from the recession but a lack of affordable and alternative housing options. The strategy proposes pilot projects to develop affordable and diverse housing, especially in Jasper, to attract and retain employees.
The document provides an overview and analysis of demographic and economic indicators for the Radius Indiana region, which comprises 8 counties in south central Indiana. Some key findings include:
1) The population of the Radius region grew more slowly than the rest of Indiana from 2002-2012 and has an aging population profile.
2) Educational attainment levels are lower in the Radius region, which may limit its ability to attract high-quality jobs. However, high school graduation rates exceed the state average.
3) The Radius region lags the rest of Indiana in measures of innovation like patents per capita and average earnings are lower, especially for women.
4) Unemployment peaked at a lower level in the Radius region
RS June 2021: Neighborhood Change Dynamics UpdatedARCResearch
The document analyzes demographic shifts in census tracts in the 20-county Atlanta region from 2000 to 2019. It finds that 53% of census tracts experienced some form of change over this period. 12% saw significant population growth, with higher incomes and more racial/ethnic diversity. 28% saw increased poverty concentration, with lower incomes and more diversity. The regions saw the most population growth in outer suburbs and northern Atlanta, while population declined mostly in southern Atlanta. Areas of poverty concentration were widespread in the inner suburbs, while poverty displacement was concentrated in central Atlanta.
Housing Virginia Rural Report - Nov 2016Alise Newman
This document provides an overview of housing needs in rural Virginia. It finds that while rural populations are growing more slowly than urban areas, the rural population is aging significantly. Many young adults are moving away from rural communities for jobs while the senior population remains. As a result, poverty and unemployment rates are higher in rural areas, especially in the Mountain and Southside regions. The report also notes that affordable housing is lacking, with nearly a third of rural households paying over 30% of their income on housing costs. Direct feedback from rural housing providers identified additional needs around housing for seniors, rental options, homeownership, and improving existing housing stock. The report concludes with policy recommendations in these areas.
The document provides demographic, economic, and labor market data and analysis for Clinton County. Between 2000-2013, Clinton County's population declined slightly due to domestic out-migration outweighing natural growth and international immigration. The number of establishments in the county grew 36% from 2000-2011 primarily through new business formation. The largest industries are manufacturing, government, and health care, though transportation and warehousing saw the largest employment growth between 2002-2013.
Regional Snapshot: 2019 Federal Opportunity ZonesARCResearch
This month's regional snapshot reviews the Federal Opportunity Zones program - what it is, which communities have received the designation, and how those communities compare to their county and the region as a whole.
The number of establishments in Harrison County doubled between 2000 and 2011, largely due to the natural increase of new businesses being launched. By 2011, the majority of establishments (57%) fell into Stage 1, having 2-9 employees. The top five employers in 2015 included Horseshoe Southern Indiana casino, Harrison County Hospital, Tyson Foods, Blue River Services housing nonprofit, and ICON Metal Forming, producing a mix of local, national and global goods and services.
The population of Harrison County increased 14% between 2000-2013, driven by natural increase and domestic in-migration. While the population grew, it aged, as seen in shifting population pyramids. The number of establishments doubled from 2000-2011, primarily through new establishments rather than relocating establishments. Top employers span local, national, and global industries. Government and manufacturing jobs declined the most between 2002-2013, while real estate grew 38%.
Wide Open Spaces: Schooling in Rural America TodayJeremy Knight
Rural communities and schools face many challenges but also have significant assets. While rural areas on average have higher poverty rates and lower incomes and education levels than urban areas, there is great diversity among rural communities. Some rural areas, particularly in parts of the Midwest and Great Plains, have higher rates of economic mobility than urban areas. Rural schools have common challenges like declining enrollment and transportation issues but vary widely. Overall, focusing only on challenges overlooks the strengths of rural communities, including strong social networks, civic engagement, and local commitment that can help drive meaningful change.
MC_forecasts_finals series 17_feb2024.pdfARCResearch
Final summary slide deck for Series 17 population, employment by sector, age group forecasts for MPO region, counties, and smaller areas...February 2024
The document discusses urbanization trends in Sub-Saharan Africa. It notes that SSA is the least urbanized region globally, though urbanization rates have increased from 31% in 2004 to 37% in 2013. Coastal towns were historically most urbanized due to trade, and large cities now face issues of lack of planning, infrastructure, and poverty due to rapid population growth.
This document analyzes demographic changes in Lancaster County, Nebraska from 1970 to 2010 using census data. It focuses on Census Tract 9 in Lincoln, which remained fairly stable in population but became more diverse over time. In 1970, Tract 9 was 98.9% white with low diversity. By 2010, the white population dropped to 78.7% and diversity increased as the Asian and Hispanic populations grew. Overall, the diversity index in Tract 9 rose over 2000% during this period, representing Lancaster County's transition to becoming a more diverse community.
Exploring Dallas Poverty in Local, Regional, and National ContextsTimothy Bray
This document examines poverty in Dallas, Texas from 2000-2014. It finds that poverty rates increased much more sharply than population growth over this period. The number of children and Hispanic individuals living in poverty grew by 59% and 53% respectively, outpacing the city's overall population increase of 8%. Dallas had one of the highest child poverty and Hispanic poverty rates among major U.S. cities in 2014. The document also analyzes how poverty affects brain development and civic participation, and discusses the changing geographic concentration of poverty within Dallas over time.
Inequality in the peak district & intro to field & case studywhiskeyhj
The document discusses rural inequality in the Peak District of England. It finds that inequality is highly concentrated in specific villages, with wealth most concentrated in villages closest to major urban areas that function as commuter towns. The Peak District demonstrates deprivation particularly in the category of "barriers to housing." A key issue is the growing gap between many rural jobs and inflated housing prices, exacerbated by the loss of social housing and difficulties developing new housing due to planning restrictions as a national park.
The document provides demographic data for the EBDI redevelopment project area and surrounding Greater East Baltimore neighborhood, comparing statistics from 2000 to 2010. It finds that the population in the EBDI area decreased significantly, with fewer households and children. Poverty rates increased while income levels rose slightly on average. Housing units decreased substantially, with large drops in homeownership. The neighborhood experienced income inequality and high rates of poverty, though the number of very low-income residents decreased.
SoccerPod_External Business Environment Analysis ReportPo-Yuan Chang
California ranks poorly for business taxes and Santa Clara County's largest city, San Jose, has a population of nearly 1 million. Major companies like Apple and Google are expanding in the area, driven by growth in the tech industry and a highly educated workforce. The population of the San Francisco Bay Area has increased substantially in recent years, becoming more ethnically diverse, with Asians and Hispanics growing the fastest.
This document discusses key concepts related to human geography including global patterns of urbanization. It notes that around 50% of the world's population now lives in urban areas, with the most urbanized continents being Europe, North America, and South America. Asia has the largest number of urban dwellers at 1.4 billion people, and urbanization is increasing most rapidly in Africa and Asia. By 2025, half the population in Africa and Asia will live in cities.
This document provides a summary of demographic, economic, and labor market data for Jefferson County. The population increased slightly between 2000 and 2013, driven primarily by natural growth and domestic migration. The population is aging, with fewer residents of prime working age. Educational attainment improved modestly over this period. The county saw significant growth in the number of establishments between 2000 and 2011, largely through new business formation. The largest industries are manufacturing, government, retail trade, and healthcare, although manufacturing experienced job losses since 2002.
The document provides information on the Hispanic population and market in the Pacific Northwest region of the United States. It discusses:
1) The large and growing Hispanic population in the region, particularly in Washington and Oregon, with over 50% growth in Washington between 2000-2013 and 64% growth in Oregon between 2000-2010.
2) Spending power and retail spending of Hispanics in key metropolitan areas of the region, with Hispanic retail spending reaching hundreds of millions of dollars annually in Seattle, Portland, and Yakima.
3) The diverse acculturation levels of Hispanics in the region and considerations for businesses in marketing and communicating cross-culturally to the Hispanic population.
33N Blog Housing MAS 2023 Slide DeckpdfARCResearch
Results of housing-related questions from the 2023 Metro Atlanta Speaks survey--focus on affordability locally and regionally, as well as on policy perceptions
33N MAS 2023 BiggestProblemQuestionSlidesARCResearch
This document analyzes data from the Metro Atlanta Speaks survey on the biggest problem facing residents in the metro Atlanta region in 2023 and previous years. The key findings are:
1) In 2023, crime was identified as the biggest problem by 26.5% of respondents, making it the top concern. Transportation and the economy were the second and third biggest problems.
2) Crime has consistently been one of the top concerns over previous survey years from 2014 to 2023, though its ranking and the percentage identifying it as the top problem has varied.
3) Perceptions of the biggest problem differ among demographic groups, with more Black respondents identifying crime and more white respondents identifying transportation as the top concern in
Metro Atlanta Speaks Summary RS Jan 2024ARCResearch
This document summarizes the key findings from the Metro Atlanta Speaks 2023 survey:
1) "Crime" remained the top issue facing the region according to respondents, though "Economy" saw a large increase as the second most picked issue in 2023.
2) Less than half of respondents support paying higher taxes to fund expanded regional public transit.
3) Over 60% of respondents said they could not afford to move to another housing unit in their current neighborhood or within the metro area.
4) Majorities see climate change as a major global and regional threat over the next 10 years.
Final Jobs and Wages Snapshot Slide Deck2024ARCResearch
The document provides an overview of the job market and economy in metro Atlanta. Some key points:
- Metro Atlanta's employment growth over the past decade has been stronger than the national average, and its recovery from the pandemic is among the strongest of peer cities.
- Information and management jobs are relative strengths of the metro Atlanta economy.
- While all industries have more jobs now than before the pandemic, some like information and transportation have lost jobs in the past year.
- Inflation recently dropped significantly in metro Atlanta after outpacing wage growth for two years.
- Registered nurses and software developers remain the most in-demand occupations by employers. Occupations recovering from pandemic losses are also seeing increased demand.
Regional Snapshot: Health Disparities Abound
The document summarizes health disparities in the Atlanta region. It finds that while the metro Atlanta area is relatively healthy overall compared to the rest of Georgia, there are significant racial disparities in health outcomes. Across a wide range of indicators such as infant mortality, diabetes hospital visits, and life expectancy, Black populations consistently have poorer health outcomes than white populations. These disparities are also spatial, with poorer health outcomes concentrated in the southern parts of the region where poverty is also higher. Factors like access to insurance, transportation, and broadband internet contribute to these disparities. The document uses charts and maps to illustrate differences in outcomes, causes of death, hospitalization rates,
This document discusses the biggest challenges facing the Atlanta region including crime, economy, transportation, and human services. It is from the website atlantaregional.org/metroatlantaspeaks which focuses on issues impacting the Atlanta metropolitan area.
This document provides a regional snapshot of the Metro Atlanta cost of living in October 2023. It finds that Metro Atlanta's overall cost of living is almost exactly the national average, with a score of 100.4 on the C2ER Cost of Living Index. While Atlanta's health care costs are slightly higher than peers, utility costs are lower, offsetting the higher health care. The document also examines how costs have increased in Atlanta since 2000, with medical and transportation costs rising the most. Housing plays a large role in determining differences in cost of living between urban areas.
Among the fifteen most populous metro areas, metro Atlanta ranks fourth in overall homeownership rates. Homeownership rates vary greatly across the metro Atlanta region and are highest for Asian residents but lowest for Black and Hispanic residents. Cobb and Gwinnett Counties have the largest differences in homeownership rates between White and Black residents, while Fayette County has a much smaller gap. Mortgage data shows White homebuyers purchasing homes in majority Black areas of DeKalb County and central Fulton County.
Choice Hotels International is seeking to acquire Wyndham Hotels & Resorts, a deal that would create one of the largest budget hotel owners. The companies are each valued at around $6 billion but are not currently in serious talks. If no deal is reached, Choice could make an offer directly to Wyndham shareholders. Wyndham shares rose on the news while Choice shares dropped. Both companies focus on budget-conscious travelers. Choice says the deal would help its goal of expanding in upper-midscale and upscale segments. The hotel industry is recovering as travelers return, but it was battered early in the pandemic when travel halted globally.
The document provides an overview of aging trends in the Atlanta region. It notes that the population aged 65+ has nearly doubled since 1960 and will almost double again by 2050 to over 21% of the population. Currently Fayette County has the highest percentage of older residents while Clayton County has the lowest. The number of older people employed rebounded after the pandemic and is now the highest in 5 years, with those aged 65+ making up a growing share of total employment. The working age population is forecast to increase only 17% by 2050 compared to a 46% rise in non-working ages, reducing the dependency ratio.
This document provides a summary of data from the 100 Metros dashboard about the Atlanta metro area and how it compares to other large metro areas in the US. The data is organized into categories including demographics, housing, education/technology, health, employment, economic development, and commuting. Some key findings are that Atlanta's population ranks 8th largest nationally and grew faster than most other large metros from 2021-2022. The metro area also ranks high for housing permits, job growth, and median home sale price increases but lower for median income and average hourly wages.
1. Metro Atlanta surpassed 3 million jobs for the first time in October 2022, with employment recovering strongly from pandemic lows in early 2020.
2. Registered Nurses remain the most in-demand occupation according to job postings data, though demand is growing fastest for lower-wage jobs in areas like freight, food service, and retail.
3. Inflation has risen faster in metro Atlanta than national averages over the past year, increasing just over 8%, partly due to high population growth driving up housing costs.
The document analyzes migration patterns of young adults aged 16-26 between 2000-2018 moving to and from the Atlanta metropolitan area. It finds that the largest share of in-migration to Atlanta comes from low-income Black movers, making up 78% of all young movers. The top origins for migration are New York City and Miami, while the top destination for out-migration from Atlanta is LaGrange, Georgia. Overall, Atlanta sees far more in-migration from populations of color compared to white populations, and has one of the lowest rates of in-migration from white young adults among peer cities.
Rental presentation - with annotation.pdfARCResearch
The document summarizes rental housing affordability trends in the Atlanta metro region. It finds that over the past 5 years, rent growth in Atlanta has been the second highest among major US metros behind only Miami. Rents in the Atlanta suburbs like Forsyth County have increased the most. There has also been a decrease in affordable rental units renting for under $1250 and an increase in units renting for over $1250 from 2014-2020. Higher rents are pushing more people to file for evictions, with filings on the rise since early 2022. Census tracts with more millennials and closer to downtown Atlanta tend to have higher rental costs.
According to the document:
- Atlanta's overall cost of living is slightly above the national average, with housing costs being 13% higher but utility costs 13.4% lower than average.
- To have equivalent purchasing power in Manhattan as $50,000 in Atlanta, one would need to earn over $120,000, while only $49,900 would be needed in Dallas.
- Atlanta's consumer price index has increased 54% since 2000, with medical and transportation costs rising the most.
The document summarizes population and economic trends in the 11-county Atlanta region from 2022. It finds that the region grew by over 64,000 people between 2021 and 2022 to a total population of over 5 million. Gwinnett County saw the largest numeric increase while Henry County had the highest percentage growth. The City of Atlanta rebounded from slower growth in 2020-2021. Housing demand remains high across the region although building permit activity has not returned to pre-Great Recession levels. Job growth in the Atlanta region was strong in 2022, outpacing national trends. Most new housing construction is occurring in the outer suburban and exurban counties.
Combined Illegal, Unregulated and Unreported (IUU) Vessel List.Christina Parmionova
The best available, up-to-date information on all fishing and related vessels that appear on the illegal, unregulated, and unreported (IUU) fishing vessel lists published by Regional Fisheries Management Organisations (RFMOs) and related organisations. The aim of the site is to improve the effectiveness of the original IUU lists as a tool for a wide variety of stakeholders to better understand and combat illegal fishing and broader fisheries crime.
To date, the following regional organisations maintain or share lists of vessels that have been found to carry out or support IUU fishing within their own or adjacent convention areas and/or species of competence:
Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR)
Commission for the Conservation of Southern Bluefin Tuna (CCSBT)
General Fisheries Commission for the Mediterranean (GFCM)
Inter-American Tropical Tuna Commission (IATTC)
International Commission for the Conservation of Atlantic Tunas (ICCAT)
Indian Ocean Tuna Commission (IOTC)
Northwest Atlantic Fisheries Organisation (NAFO)
North East Atlantic Fisheries Commission (NEAFC)
North Pacific Fisheries Commission (NPFC)
South East Atlantic Fisheries Organisation (SEAFO)
South Pacific Regional Fisheries Management Organisation (SPRFMO)
Southern Indian Ocean Fisheries Agreement (SIOFA)
Western and Central Pacific Fisheries Commission (WCPFC)
The Combined IUU Fishing Vessel List merges all these sources into one list that provides a single reference point to identify whether a vessel is currently IUU listed. Vessels that have been IUU listed in the past and subsequently delisted (for example because of a change in ownership, or because the vessel is no longer in service) are also retained on the site, so that the site contains a full historic record of IUU listed fishing vessels.
Unlike the IUU lists published on individual RFMO websites, which may update vessel details infrequently or not at all, the Combined IUU Fishing Vessel List is kept up to date with the best available information regarding changes to vessel identity, flag state, ownership, location, and operations.
About Potato, The scientific name of the plant is Solanum tuberosum (L).Christina Parmionova
The potato is a starchy root vegetable native to the Americas that is consumed as a staple food in many parts of the world. Potatoes are tubers of the plant Solanum tuberosum, a perennial in the nightshade family Solanaceae. Wild potato species can be found from the southern United States to southern Chile
Synopsis (short abstract) In December 2023, the UN General Assembly proclaimed 30 May as the International Day of Potato.
Donate to charity during this holiday seasonSERUDS INDIA
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/
#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
RFP for Reno's Community Assistance CenterThis Is Reno
Property appraisals completed in May for downtown Reno’s Community Assistance and Triage Centers (CAC) reveal that repairing the buildings to bring them back into service would cost an estimated $10.1 million—nearly four times the amount previously reported by city staff.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Monitoring Health for the SDGs - Global Health Statistics 2024 - WHOChristina Parmionova
The 2024 World Health Statistics edition reviews more than 50 health-related indicators from the Sustainable Development Goals and WHO’s Thirteenth General Programme of Work. It also highlights the findings from the Global health estimates 2021, notably the impact of the COVID-19 pandemic on life expectancy and healthy life expectancy.
Working with data is a challenge for many organizations. Nonprofits in particular may need to collect and analyze sensitive, incomplete, and/or biased historical data about people. In this talk, Dr. Cori Faklaris of UNC Charlotte provides an overview of current AI capabilities and weaknesses to consider when integrating current AI technologies into the data workflow. The talk is organized around three takeaways: (1) For better or sometimes worse, AI provides you with “infinite interns.” (2) Give people permission & guardrails to learn what works with these “interns” and what doesn’t. (3) Create a roadmap for adding in more AI to assist nonprofit work, along with strategies for bias mitigation.
2. 2
Key Takeaways
We used a method comparable to that in the City of Atlanta Department of City Planning ‘s Neighborhood
Change Report to produce a similar analysis at the regional level for the time period from 2000 to 2019.
53% of the 20-county region’s Census tracts registered some form of change.
12% of Census tracts experienced significant population growth during the timeframe. In these growth tracts,
median household income increased by 14 percentage points in 2019 dollars and Asian, Black, Hispanic and other
minority populations increased by 7.5 percentage points.*
28% of Census tracts experienced significant poverty concentration during the timeframe. In these tracts of
poverty concentration, median household income decreased by 27 percentage points and Asian, Black, Hispanic
and other minority populations increased by 13 percentage points.
*In 2019 Dollars. **All groups except non-Hispanic White.
3. Definitions of Change Categories
• Population Growth: Tracts with an overall population increase in both low-income
residents and non-low-income residents, where the percentage of low-income residents shrank, and
the percentage of non-low-income residents grew.
• Population Decline: Tracts with an overall population decrease in both income categories,
where the percentage of low-income residents grew, and the percentage of non-low-income
residents shrank.
• Poverty Concentration: Tracts with an overall population decrease in non-low-income
residents and an overall population increase in low-income residents where the percentage of low-
income residents grew.
• Poverty Displacement: Tracts with an overall population decrease in low-income
residents and an overall population increase in non-low-income residents where the percentage of
low-income residents shrank.
3
4. Regional Neighborhood Change Takeaways
Of the 20-County region’s 948 Census tracts (2010
boundaries), about half showed significant
change of some kind:
Changed tracts = 499
Unchanged tracts = 449
Total tracts = 948
Among the tracts experiencing change:
• The Population Growth category outpaces the
Population Decline category.
Growth = 111 tracts
Decline = 24 tracts
• The Poverty Concentration category outpaces the
Poverty Displacement category.
Concentration = 265 tracts
Displacement = 99 tracts
4
5. Spatial Patterns of Change
• Population Growth tracts (in GREEN) are distributed
in a circular pattern in the outer suburbs, the northern
half of the City of Atlanta, and in the area north of the
City of Atlanta between I-75 and I-85.
• Population Decline tracts (in RED) are located
primarily in the southern half of the City of Atlanta
and in portions of DeKalb and Gwinnett Counties
close to I-285.
• Poverty Displacement tracts (in YELLOW) are
distributed in the central and eastern portions of the
City of Atlanta, the smaller cities of the close-in
suburbs, and areas surrounding cities in the far
suburbs.
• Poverty Concentration tracts (in ORANGE) are
largely found in the southern and western portions of
City of Atlanta, in unincorporated sections of the
close-in suburbs, and in areas surrounding cities in the
far suburbs.
5
6. • The City of Atlanta has seen an influx of more affluent residents over the past
two decades, contributing to low-income displacement through the process of
gentrification.
• Redevelopment of town squares and added regional transportation options
in smaller cities have contributed to a similar phenomenon in the suburbs, as
those cities retrofit to meet consumer demands.
• Low-income concentration has shifted toward unincorporated portions of the
suburbs where aging housing stock and lower taxes contribute to a lower cost of
living and to more affordable housing (relative to the nearby cities).
6
Context for Change
7. Population Growth Areas: An Overview
7
The map highlights population growth areas. As a reminder, these areas experienced population growth in both low-income and non-low-income residents but
became wealthier overall as the percentage of low-income residents shrank. These areas form a ring around the exurban fringe of the 20-county region and can
also be found in the northern parts of the City of Atlanta and in Cobb County.
The chart compares the median populations in these population growth areas to the median populations in all areas in the region. A summary follows on the next
page.
3,753
3,111
617
1,387
192
149
288
410
0 500 1000 1500 2000 2500 3000 3500 4000
White, Nonhispanic/Latinx (Growth)
White, Nonhispanic/Latinx (Region)
Black/African American (Growth)
Black/African American (Region)
Asian (Growth)
Asian (Region)
Hispanic/Latinx (Growth)
Hispanic/Latinx (Region)
Population Growth Tracts vs. 20-County Region
8. Closer Look At… Population Growth Areas
Population growth tracts account for 11.7% of all tracts in the 20-county
region and 22.2% of tracts that registered change.
• The median population in population growth tracts are as follows*:
• Hispanic/Latinx: 288
• Asian: 192
• Black/African-American: 617
• White, Non-Hispanic/Latinx: 3,753
• When comparing the median populations in the population growth areas
to the median populations in the entire region (see chart in upper right), we
find:
• Higher median populations of White, Non-Hispanic/Latinx (+20.6%) and Asian
(+28.8%)
• Smaller median populations of Black/African American (-55.5%) and
Hispanic/Latinx (-29.7%)
8
*In 2019.
3,753
3,111
617
1,387
192
149
288
410
0 500 1000 1500 2000 2500 3000 3500 4000
White, Nonhispanic/Latinx (Growth)
White, Nonhispanic/Latinx (Region)
Black/African American (Growth)
Black/African American (Region)
Asian (Growth)
Asian (Region)
Hispanic/Latinx (Growth)
Hispanic/Latinx (Region)
Population Growth Tracts vs. 20-County Region
9. Population Growth Areas (continued)
• The median household income in Population Growth tracts was $90,140 in
2019, a 14% increase from the 2000 amount of $79,057.*
• Population Growth tracts had a median home value of $296,900 in 2019,
which represents a 38.8% increase from the 2000 amount of $213,772.*
• The median number of residents in Population Growth tracts with a
Bachelor's degree in 2019 was 1,105, an 81.7% increase from the 2000
median number of 608.
• Population Growth tracts had a median gross rent of $1,372 in 2019, a
34.7% increase from the 2000 amount of $1,018.*
9
*In 2019 Dollars.
$213,772
$296,900
$79,057
$90,140
0 50000 100000 150000 200000 250000 300000 350000
Median Home Value (2000*)
Median Home Value (2019)
Median HH Income (2000*)
Median HH Income (2019)
Population Growth Tracts, Change from 2000 to 2019
1,018
1,372
608
1,105
0 200 400 600 800 1000 1200 1400 1600
Median Gross Rent (2000*)
Median Gross Rent (2019)
Bachelor's Degree (2000)
Bachelor's Degree (2019)
Population Growth Tracts, Change from 2000 to 2019
10. Population Decline Areas: An Overview
10
The map shows the locations of population decline areas. As a reminder, these are areas that experienced an overall population decline in both low-income and
non-low-income residents, but the percentage of non-low-income residents shrank the most, resulting in these areas becoming less wealthy over the analysis
period. As can be seen, there are relatively few areas classified as population decline, and they are scattered mostly within I-285 in the southern parts of the City of
Atlanta.
The chart compares the median populations in these population decline areas to the median populations in all areas in the region. A summary follows on the next
page.
442
3,111
1,956
1,387
50
149
232
410
0 500 1000 1500 2000 2500 3000 3500
White, Nonhispanic/Latinx (Decline)
White, Nonhispanic/Latinx (Region)
Black/African American (Decline)
Black/African American (Region)
Asian (Decline)
Asian (Region)
Hispanic/Latinx (Decline)
Hispanic/Latinx (Region)
Population Decline Tracts vs. 20-County Region
11. Closer Look At… Population Decline Areas
Population decline tracts account for 2.5% of all tracts in the 20-county
region and 4.8% of tracts that registered change.
• The median population in population decline tracts are as follows*:
• Hispanic/Latinx: 232
• Asian: 50
• Black/African-American: 1,956
• White, Non-Hispanic/Latinx: 442
When comparing the median populations in the population decline
areas to the median populations in the entire region (see chart in upper
right), we find:
• Higher median populations of Black/African-American (+41%)
• Lower median populations of White, Non-Hispanic/Latinx (-83.2%), Asian
(-66.4%) and Hispanic/Latinx ( -43.4%)
11
*In 2019.
442
3,111
1,956
1,387
50
149
232
410
0 500 1000 1500 2000 2500 3000 3500
White, Nonhispanic/Latinx (Decline)
White, Nonhispanic/Latinx (Region)
Black/African American (Decline)
Black/African American (Region)
Asian (Decline)
Asian (Region)
Hispanic/Latinx (Decline)
Hispanic/Latinx (Region)
Population Decline Tracts vs. 20-County Region
12. Population Decline Areas
(continued)
• The median household income in population decline tracts was $40,542 in
2019, a 10.1% decrease from the 2000 amount of $45,136.*
• Population decline tracts had a median home value of $145,100 in 2019,
which represents a 25.8% increase from the 2000 amount of $115,335.*
• The median number of residents in population decline tracts with a bachelor's
degree in 2019 was 270, an 26.7% increase from the 2000 median number of
213.
• Population decline tracts had a median gross rent of $980 in 2019, a 5.4%
increase from the 2000 median gross rent of $929.*
12
* In 2019 Dollars.
$115,335
$145,100
$45,136
$40,542
0 20000 40000 60000 80000 100000 120000 140000 160000
Median Home Value (2000*)
Median Home Value (2019)
Median HH Income (2000*)
Median HH Income (2019)
Poverty Decline Tracts vs. 20-County Region
929
980
213
270
0 200 400 600 800 1000 1200
Median Gross Rent (2000*)
Median Gross Rent (2019)
Bachelor's Degree (2000)
Bachelor's Degree (2019)
Population Decline Tracts vs. 20-County Region
13. Poverty Concentration Areas: An Overview
13
The map identifies the locations of poverty concentration areas. As a reminder, these areas experienced an overall decline in non-low-income populations with a
corresponding increase in low-income populations. Thus, these areas became less wealthy. As can be seen, these areas are concentrated within the first-ring
suburbs lining the I-285 perimeter, as well as in a few other more exurban areas to the south. This pattern highlights the suburbanization of poverty phenomenon
we see in the Atlanta region.
The chart compares the median populations in these poverty concentration areas to the median populations in all areas in the region. A summary follows on the
next page.
1,063
3,111
1,865
1,387
146
149
489
410
0 500 1000 1500 2000 2500 3000 3500
White, Nonhispanic/Latinx (Concentration)
White, Nonhispanic/Latinx (Region)
Black/African American (Concentration)
Black/African American (Region)
Asian (Concentration)
Asian (Region)
Hispanic/Latinx (Concentration)
Hispanic/Latinx (Region)
Poverty Concentration Tracts vs. 20-County Region
14. Closer Look At… Poverty Concentration Areas
Poverty concentration tracts account for 27.9% of all tracts in the 20-county
region and 53.1% of tracts that registered change.
• The median population in poverty concentration tracts are as follows:
• Hispanic/Latinx: 489
• Asian: 146
• Black/African-American: 1,865
• White, Non-Hispanic/Latinx: 1,063
• When comparing the median populations in the poverty concentration
areas to the median populations in the entire region (see chart in upper
right), we find:
• Higher median populations of Black/African-American (+34.4%) and
Hispanic/Latinx (+19.2%)
• Lower median populations of White, Non-Hispanic/Latinx (-59.7%) and Asian
(-2%)
14
*In 2019.
1,063
3,111
1,865
1,387
146
149
489
410
0 500 1000 1500 2000 2500 3000 3500
White, Nonhispanic/Latinx (Concentration)
White, Nonhispanic/Latinx (Region)
Black/African American (Concentration)
Black/African American (Region)
Asian (Concentration)
Asian (Region)
Hispanic/Latinx (Concentration)
Hispanic/Latinx (Region)
Poverty Concentration Tracts vs. 20-County Region
15. Poverty Concentration Areas
(continued)
• The median household income in poverty concentration tracts was $50,362 in
2019, a 27.5% decrease from the 2000 amount of $69,526.*
• Poverty concentration tracts had a median home value of $144,300 in 2019,
which represents a 7.3% decrease from the 2000 amount of $155,816.*
• The median number of residents in poverty concentration tracts with a
bachelor's degree in 2019 was 865, a 10.1% increase from the 2000 median
number of 785.
• Poverty concentration tracts had a median gross rent of $1,112 in 2019, a 3.4%
decrease from the 2000 amount of $1,152.*
15
*In 2019 Dollars.
$155,816
$144,300
$69,526
$50,362
0 20000 40000 60000 80000 100000 120000 140000 160000 180000
Median Home Value (2000*)
Median Home Value (2019)
Median HH Income (2000*)
Median HH Income (2019)
Poverty Concentration Tracts vs. 20-County Region
1,152
1,112
785
865
0 200 400 600 800 1000 1200 1400
Median Gross Rent (2000*)
Median Gross Rent (2019)
Bachelor's Degree (2000)
Bachelor's Degree (2019)
Poverty Concentration Tracts vs. 20-County Region
16. Poverty Displacement Areas: An Overview
16
The map displays locations of poverty displacement areas. As a reminder, these areas experienced an increase in non-low-income residents with a corresponding
decrease in low-income residents. These areas most closely align with what many would think of as areas of gentrification although this analysis isn’t focused on
defining gentrification. As can be seen, these areas are heavily concentrated within the urban core and the City of Atlanta, with a few isolated areas near suburban
town centers.
The chart in the upper right corner compares the median populations in these poverty concentration areas to the median populations across all areas in the region.
A summary follows on the next page.
2,483
3,111
825
1,387
115
149
201
410
0 500 1000 1500 2000 2500 3000 3500
White, Nonhispanic/Latinx (Displacement)
White, Nonhispanic/Latinx (Region)
Black/African American (Displacement)
Black/African American (Region)
Asian (Displacement)
Asian (Region)
Hispanic/Latinx (Displacement)
Hispanic/Latinx (Region)
Poverty Displacement Tracts vs. 20-County Region
17. Closer Look At… Poverty Displacement Areas
Poverty displacement tracts account for 10.4% of all tracts in the 20-county
region and 19.8% of tracts that registered change.
• The median population in poverty concentration tracts is as follows:
• Hispanic/Latinx: 201
• Asian: 115
• Black/African-American: 825
• White, Non-Hispanic/Latinx: 2,483
• When comparing the median populations in the poverty displacement
areas to the median populations in the entire region (see chart at upper
right), we find:
• Lower median populations in all race/ethnicity categories, but the biggest
declines are among people of color.
• White, Non-Hispanic/Latinx (-6%), Black/African-American (-40.5%), Asian
(-22.8%), Hispanic/Latinx (-50.9%)
17
*In 2019.
2,483
3,111
825
1,387
115
149
201
410
0 500 1000 1500 2000 2500 3000 3500
White, Nonhispanic/Latinx (Displacement)
White, Nonhispanic/Latinx (Region)
Black/African American (Displacement)
Black/African American (Region)
Asian (Displacement)
Asian (Region)
Hispanic/Latinx (Displacement)
Hispanic/Latinx (Region)
Poverty Displacement Tracts vs. 20-County Region
18. Poverty Displacement Areas
(continued)
• The median household income in poverty displacement tracts was $85,081 in
2019, a 29% increase from the 2000 amount of $65,927.*
• Poverty displacement tracts had a median home value of $344,300 in 2019, which
represents a 45.9% increase from the 2000 amount of $235,949.*
• The median number of residents in poverty displacement tracts with a bachelor's
degree in 2019 was 1,571, a 130% increase from the 2000 amount of 683.
• Poverty displacement tracts had a median gross rent of $1,297 in 2019, a 27.4%
increase from the 2000 amount of $1,018.*
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*In 2019 Dollars.
$235,949
$344,300
$65,927
$85,081
0 50000 100000 150000 200000 250000 300000 350000 400000
Median Home Value (2000*)
Median Home Value (2019)
Median HH Income (2000*)
Median HH Income (2019)
Poverty Displacement Tracts vs. 20-County Region
1,018
1,297
683
1,571
0 200 400 600 800 1000 1200 1400 1600 1800
Median Gross Rent (2000*)
Median Gross Rent (2019)
Bachelor's Degree (2000)
Bachelor's Degree (2019)
Poverty Displacement Tracts vs. 20-County Region
19. • This analysis used the same parameters as the Neighborhood Change Report produced by the Atlanta
Department of City Planning.*
• Numerical thresholds for significant change were 2% for low-income residents and 10% for non-low-
income residents.
• Low- income was defined as 200% of the federal poverty threshold in 2019.
• For comparisons, this analysis use data from Social Explorer for the 2000 Decennial Census and from the
2015-2019 ACS.**
• The data are redistributed into 2010-vintage census tracts for continuity purposes.
* https://www.atlantaga.gov/government/departments/city-planning/office-of-housing-community-development/neighborhood-change-report
** https://www.socialexplorer.com/explore-maps
19
Methods and Sources