SlideShare uma empresa Scribd logo
1 de 15
Baixar para ler offline
Food Deserts in South Dakota
Nimish Sheth
The Food Desert Metaphor
2
 First used in the U.K. to describe lack of access to food
due to grocery store closures in deteriorating
neighborhoods in cities
 Uneven distribution of consumer food sources leads to
areas of concentration and places with limited or non-
existent access to food choices (Morton,2005)
 Differential access to healthy and affordable food based on
socio-economic conditions (Beaulac,Kristjansson,and
Cummins,2009)
Food Desert in the U.S. context
3
 In the U.S., proliferation of convenience stores and mini-
marts provides increased access to food
 Clouds quality, nutritional, and affordability factors
 Food desert alternately defined as residential proximity to
large food retailers (Morton and Blanchard,2007)
Goals
4
 Identify and characterize food deserts in South Dakota, a
large rural state, based on geographic access to retail food
 Use GIS for identifying food deserts – regions with limited
or non-existent geographic access to large food retailers
 Create a set of maps to visualize the process of categorizing
food deserts
 Characterize food deserts vs. non-food deserts to gain socio-
economic insights, if any
Methodology
5
 Calculate distance between residential locations and
supermarkets
 Locate cities, counties, and major roads in the state to
visualize the relative locations of supermarkets and food
deserts
 Aggregate distances by census tract to identify and
characterize food deserts
Data for South Dakota
6
Data Source
Census Blocks U.S. Census Bureau
Census Tracts U.S. Census Bureau
Census Tract Demographics U.S. Census Bureau
Supermarkets (except convenience
stores)
ReferenceUSA
Roads South Dakota Dept. of
Transportation
Cities MGIS (Price), U.S. Census Bureau
State, Counties MGIS (Price)
Data Processing
7
Project Data
NAD83 SPCS
South Dakota South FIPS4002
Create GDB
Import data
Calculate Census
Block Centroids
Map Supermarkets
(lat/long)
Closest
Supermarket to
Block Centroid
Simple Distance
join
Mean Distance to
Supermarket by
Census Tract
Summarized Inside
joinCreate choropleth map
Mean Distance by Tract
Create series of
maps to visualize
analysis
Assemble Data
Analyze
characteristics of food
& non-food deserts in
ArcMap and Excel
^
Aberdeen
Brookings
Watertown
Rapid City
Sioux Falls
Pierre
South Dakota, U.S.
0 30 60 90 12015
Miles
^ Capital
Cities (2000 pop.> 5,000)
Census Tracts
Map Author: Nimish Sheth, 2009
:
8
 Large, rural Midwestern state - 75,885 sq. miles
 2000 population - 754,844; Pop. density – 9.9/sq. mile
 2000 per capita money income - $17,562
 13.2% of the population below the poverty line (poverty threshold:
1 person - $8,794; Family (3) - $13,861) From US Census Bureau
#*#*
#*
#*
#*
#*
#*
#* #*
#*
#*#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*#*#*#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*#*
#*#*#*#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*#*#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*#*#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*
#*#*#*#*
#*
#*
#*
#*
#*
#*
#*
#*#*
#*
#*
#*
#*
#*
#*
#*#*
#*
#*
#*
#* #*
#*
#*
#*
#*
#*
#*
^
Aberdeen
Brookings
Watertown
Rapid City
Sioux Falls
Pierre
Census Tracts and Supermarkets in South Dakota
0 30 60 90 12015
Miles
^ Capital
#* Supermarkets
Census Tracts
Roads
Interstate
Rural Principal Arterial
Other
Cities (2000 pop. > 5,000)
Map Author: Nimish Sheth, 2009
:
9
 66 counties
 235 census tracts
 77,951 census blocks
 144 supermarkets (NAICS code 445110 & 2,500+ sq. ft.)
10
 Closest supermarket to block centroid
 Mean distance by census tract
#*
#*
#*
!(
1.48 miles
1.52 miles
460359629001046
Walmart Supercenter
County Fair Food Store
Closest supermarket to block centroid
!( Block 460359629001046
#* Supermarkets
Roads
Interstate
Rural Principal Arterial
Other
Block Centroid
Census Tract
0 0.5 1 1.5 20.25
Miles
Map Author: Nimish Sheth, 2009
:
Average Distance to Supermarkets by Census Tract
Mean Distance to Supermarkets
by Census Tract (miles)
#* Supermarkets
0 - 1
1 - 4
4 - 8
8 - 12
> 12
0 30 60 90 12015
Miles
Map Author: Nimish Sheth, 2009
:
11
 Avg. U.S. grocery trip: 8 miles – 1995 Natl.Transportation Survey
(Morton & Blanchard,2007)
 Tracts with a mean distance > 12 miles deemed food desert
 75 of 235 tracts identified as food deserts (31.9%)
 account for 16.9% of state population
 mean distance to supermarket is 17.5 miles vs. 6.3 miles for non-food deserts
Characteristics of Food Deserts
12
Characteristic
Food Desert
Tracts
Non-Food
Desert Tracts
Median Household Income 26,156 34,600
Population 18 and over 75,321 473,450
Percent population 20 to 34 14.4 19.8
Percent population 65 and up 15.1 14.2
Percent rural population 93.7 40.4
Total Housing Units 49,109 274,099
Percentage of people with High School
diploma or more, age 25 and more
78.3 84.0
Percent disabled, 21-64 years 18.6 15.1
Percent disabled, 65 and over 39.4 39.6
Percent families in poverty 16.4 8.1
Percent individuals in poverty 22.1 11.6
Percent 65 and over in poverty 22.0 11.0
13
• Of the 20 poorest tracts (based on individual poverty rate), 15 identified as food deserts
• 5 of these 15 tracts are among the 20 tracts with the lowest educational attainment (based on
percentage of people with High School diploma or more)
• Of the 20 tracts with the lowest educational attainment, 14 identified as food deserts
• Of the 20 food deserts with the greatest distance from supermarkets:
• 4 are among the top 20 tracts with greatest rate of individual poverty
• 3 are among the top 20 tracts with the least educational attainment
• 2 are among the top 20 tracts with the least median household Income
!(
!(
!(
!(
!( !( !(
!( !( !(
!(
!(!(
!(
!(
^
Pierre
Aberdeen
Brookings
Watertown
Rapid City
Sioux Falls
Food Desert Categorization of CensusTracts
0 30 60 90 12015
Miles
^ Capital
!( Cities (2000 pop. > 5,000)
Counties
Food Desert Census Tract
Non-Food Desert Census Tract
Map Author: Nimish Sheth, 2009
:
Limitations and Future Research
14
 Block centroids are a gross approximation of residential
locations
 Euclidean distance not reflective of true travel distance
 Residents not constrained by state boundaries
 Home/community gardens, farmers’ markets, etc. not
considered
 Economic and Informational food access
References
15
 U.S. Census Bureau
 ReferenceUSA
 South Dakota Dept. ofTransportation
 Price, M. Mastering ArcGIS, 4th Edition (Exercise Data)
 Morton, L.W. and Blanchard,T.C. (2007). “Starved for Access:
Life in Rural America’s Food Deserts.” Rural Realities 1 (4): 1-10.
 Morton, L.W. et al., (2005). “Solving the Problems of Iowa Food
Deserts: Food Insecurity and Perceptions of Civic Structure.”
Rural Sociology 70 (1): 94-112.

Mais conteúdo relacionado

Semelhante a Food deserts in South Dakota

Addressing Built Environmental Justice
Addressing Built Environmental JusticeAddressing Built Environmental Justice
Addressing Built Environmental JusticeMary Black
 
First Publication Gis Korea Markc
First Publication Gis Korea MarkcFirst Publication Gis Korea Markc
First Publication Gis Korea MarkcMark A. Caldwell
 
Unpacking the 2010 Census - Part 1
Unpacking the 2010 Census - Part 1Unpacking the 2010 Census - Part 1
Unpacking the 2010 Census - Part 1jzur
 
Housing Virginia Rural Report - Nov 2016
Housing Virginia Rural Report - Nov 2016Housing Virginia Rural Report - Nov 2016
Housing Virginia Rural Report - Nov 2016Alise Newman
 
Miad Food Web Presentation
Miad Food Web PresentationMiad Food Web Presentation
Miad Food Web PresentationMark A. Caldwell
 
Walsack, Phil, MPUA, Baseline Statistics Demographic Trends State of the Stat...
Walsack, Phil, MPUA, Baseline Statistics Demographic Trends State of the Stat...Walsack, Phil, MPUA, Baseline Statistics Demographic Trends State of the Stat...
Walsack, Phil, MPUA, Baseline Statistics Demographic Trends State of the Stat...Kevin Perry
 
Godsil Obesity and BE Poster logtransformed 2
Godsil Obesity and BE Poster logtransformed 2Godsil Obesity and BE Poster logtransformed 2
Godsil Obesity and BE Poster logtransformed 2Olivia Godsil
 
9th International Public Markets Conference - Larrry Lund
9th International Public Markets Conference - Larrry Lund9th International Public Markets Conference - Larrry Lund
9th International Public Markets Conference - Larrry LundPPSPublicMarkets
 
Exploring Dallas Poverty in Local, Regional, and National Contexts
Exploring Dallas Poverty in Local, Regional, and National ContextsExploring Dallas Poverty in Local, Regional, and National Contexts
Exploring Dallas Poverty in Local, Regional, and National ContextsTimothy Bray
 
B8 utilize data to advocate tim parker- usda ers
B8 utilize data to advocate   tim parker- usda ersB8 utilize data to advocate   tim parker- usda ers
B8 utilize data to advocate tim parker- usda ersHousing Assistance Council
 
TBR Food Access #1: What's a food desert? Where are they in Baton Rouge?
TBR Food Access #1: What's a food desert? Where are they in Baton Rouge?TBR Food Access #1: What's a food desert? Where are they in Baton Rouge?
TBR Food Access #1: What's a food desert? Where are they in Baton Rouge?Together Baton Rouge
 
Suburbanization of Poverty in Metro Atlanta: An Update
Suburbanization of Poverty in Metro Atlanta: An UpdateSuburbanization of Poverty in Metro Atlanta: An Update
Suburbanization of Poverty in Metro Atlanta: An UpdateARCResearch
 
US consumer trends report
US consumer trends reportUS consumer trends report
US consumer trends reportTuan Anh Nguyen
 
2017 us-trends-full-report
2017 us-trends-full-report2017 us-trends-full-report
2017 us-trends-full-reportBasil Boluk
 
Wide Open Spaces: Schooling in Rural America Today
Wide Open Spaces: Schooling in Rural America TodayWide Open Spaces: Schooling in Rural America Today
Wide Open Spaces: Schooling in Rural America TodayJeremy Knight
 

Semelhante a Food deserts in South Dakota (20)

Data for Decision Maker
Data for Decision MakerData for Decision Maker
Data for Decision Maker
 
Addressing Built Environmental Justice
Addressing Built Environmental JusticeAddressing Built Environmental Justice
Addressing Built Environmental Justice
 
First Publication Gis Korea Markc
First Publication Gis Korea MarkcFirst Publication Gis Korea Markc
First Publication Gis Korea Markc
 
Minnick finalposter
Minnick finalposterMinnick finalposter
Minnick finalposter
 
Unpacking the 2010 Census - Part 1
Unpacking the 2010 Census - Part 1Unpacking the 2010 Census - Part 1
Unpacking the 2010 Census - Part 1
 
Housing Virginia Rural Report - Nov 2016
Housing Virginia Rural Report - Nov 2016Housing Virginia Rural Report - Nov 2016
Housing Virginia Rural Report - Nov 2016
 
Miad Food Web Presentation
Miad Food Web PresentationMiad Food Web Presentation
Miad Food Web Presentation
 
Walsack, Phil, MPUA, Baseline Statistics Demographic Trends State of the Stat...
Walsack, Phil, MPUA, Baseline Statistics Demographic Trends State of the Stat...Walsack, Phil, MPUA, Baseline Statistics Demographic Trends State of the Stat...
Walsack, Phil, MPUA, Baseline Statistics Demographic Trends State of the Stat...
 
Godsil Obesity and BE Poster logtransformed 2
Godsil Obesity and BE Poster logtransformed 2Godsil Obesity and BE Poster logtransformed 2
Godsil Obesity and BE Poster logtransformed 2
 
9th International Public Markets Conference - Larrry Lund
9th International Public Markets Conference - Larrry Lund9th International Public Markets Conference - Larrry Lund
9th International Public Markets Conference - Larrry Lund
 
Transportation and Food: The Importance of Access
Transportation and Food: The Importance of AccessTransportation and Food: The Importance of Access
Transportation and Food: The Importance of Access
 
Exploring Dallas Poverty in Local, Regional, and National Contexts
Exploring Dallas Poverty in Local, Regional, and National ContextsExploring Dallas Poverty in Local, Regional, and National Contexts
Exploring Dallas Poverty in Local, Regional, and National Contexts
 
B8 utilize data to advocate tim parker- usda ers
B8 utilize data to advocate   tim parker- usda ersB8 utilize data to advocate   tim parker- usda ers
B8 utilize data to advocate tim parker- usda ers
 
TBR Food Access #1: What's a food desert? Where are they in Baton Rouge?
TBR Food Access #1: What's a food desert? Where are they in Baton Rouge?TBR Food Access #1: What's a food desert? Where are they in Baton Rouge?
TBR Food Access #1: What's a food desert? Where are they in Baton Rouge?
 
Suburbanization of Poverty in Metro Atlanta: An Update
Suburbanization of Poverty in Metro Atlanta: An UpdateSuburbanization of Poverty in Metro Atlanta: An Update
Suburbanization of Poverty in Metro Atlanta: An Update
 
US consumer trends report
US consumer trends reportUS consumer trends report
US consumer trends report
 
US Consumer trends report 2017
US Consumer trends report 2017US Consumer trends report 2017
US Consumer trends report 2017
 
2017 us-trends-full-report
2017 us-trends-full-report2017 us-trends-full-report
2017 us-trends-full-report
 
US Consumer Trends Report
US Consumer Trends ReportUS Consumer Trends Report
US Consumer Trends Report
 
Wide Open Spaces: Schooling in Rural America Today
Wide Open Spaces: Schooling in Rural America TodayWide Open Spaces: Schooling in Rural America Today
Wide Open Spaces: Schooling in Rural America Today
 

Último

Gulbai Tekra * Cheap Call Girls In Ahmedabad Phone No 8005736733 Elite Escort...
Gulbai Tekra * Cheap Call Girls In Ahmedabad Phone No 8005736733 Elite Escort...Gulbai Tekra * Cheap Call Girls In Ahmedabad Phone No 8005736733 Elite Escort...
Gulbai Tekra * Cheap Call Girls In Ahmedabad Phone No 8005736733 Elite Escort...gragchanchal546
 
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...Health
 
如何办理英国诺森比亚大学毕业证(NU毕业证书)成绩单原件一模一样
如何办理英国诺森比亚大学毕业证(NU毕业证书)成绩单原件一模一样如何办理英国诺森比亚大学毕业证(NU毕业证书)成绩单原件一模一样
如何办理英国诺森比亚大学毕业证(NU毕业证书)成绩单原件一模一样wsppdmt
 
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...HyderabadDolls
 
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...Elaine Werffeli
 
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24  Building Real-Time Pipelines With FLaNKDATA SUMMIT 24  Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNKTimothy Spann
 
Top profile Call Girls In Tumkur [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Tumkur [ 7014168258 ] Call Me For Genuine Models We...Top profile Call Girls In Tumkur [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Tumkur [ 7014168258 ] Call Me For Genuine Models We...nirzagarg
 
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With OrangePredicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With OrangeThinkInnovation
 
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteedamy56318795
 
Computer science Sql cheat sheet.pdf.pdf
Computer science Sql cheat sheet.pdf.pdfComputer science Sql cheat sheet.pdf.pdf
Computer science Sql cheat sheet.pdf.pdfSayantanBiswas37
 
Digital Transformation Playbook by Graham Ware
Digital Transformation Playbook by Graham WareDigital Transformation Playbook by Graham Ware
Digital Transformation Playbook by Graham WareGraham Ware
 
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...nirzagarg
 
Aspirational Block Program Block Syaldey District - Almora
Aspirational Block Program Block Syaldey District - AlmoraAspirational Block Program Block Syaldey District - Almora
Aspirational Block Program Block Syaldey District - AlmoraGovindSinghDasila
 
20240412-SmartCityIndex-2024-Full-Report.pdf
20240412-SmartCityIndex-2024-Full-Report.pdf20240412-SmartCityIndex-2024-Full-Report.pdf
20240412-SmartCityIndex-2024-Full-Report.pdfkhraisr
 
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...gajnagarg
 
Gomti Nagar & best call girls in Lucknow | 9548273370 Independent Escorts & D...
Gomti Nagar & best call girls in Lucknow | 9548273370 Independent Escorts & D...Gomti Nagar & best call girls in Lucknow | 9548273370 Independent Escorts & D...
Gomti Nagar & best call girls in Lucknow | 9548273370 Independent Escorts & D...HyderabadDolls
 
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...HyderabadDolls
 
怎样办理圣地亚哥州立大学毕业证(SDSU毕业证书)成绩单学校原版复制
怎样办理圣地亚哥州立大学毕业证(SDSU毕业证书)成绩单学校原版复制怎样办理圣地亚哥州立大学毕业证(SDSU毕业证书)成绩单学校原版复制
怎样办理圣地亚哥州立大学毕业证(SDSU毕业证书)成绩单学校原版复制vexqp
 
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book nowVadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book nowgargpaaro
 

Último (20)

Gulbai Tekra * Cheap Call Girls In Ahmedabad Phone No 8005736733 Elite Escort...
Gulbai Tekra * Cheap Call Girls In Ahmedabad Phone No 8005736733 Elite Escort...Gulbai Tekra * Cheap Call Girls In Ahmedabad Phone No 8005736733 Elite Escort...
Gulbai Tekra * Cheap Call Girls In Ahmedabad Phone No 8005736733 Elite Escort...
 
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
+97470301568>>weed for sale in qatar ,weed for sale in dubai,weed for sale in...
 
如何办理英国诺森比亚大学毕业证(NU毕业证书)成绩单原件一模一样
如何办理英国诺森比亚大学毕业证(NU毕业证书)成绩单原件一模一样如何办理英国诺森比亚大学毕业证(NU毕业证书)成绩单原件一模一样
如何办理英国诺森比亚大学毕业证(NU毕业证书)成绩单原件一模一样
 
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
Charbagh + Female Escorts Service in Lucknow | Starting ₹,5K To @25k with A/C...
 
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
 
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24  Building Real-Time Pipelines With FLaNKDATA SUMMIT 24  Building Real-Time Pipelines With FLaNK
DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK
 
Top profile Call Girls In Tumkur [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Tumkur [ 7014168258 ] Call Me For Genuine Models We...Top profile Call Girls In Tumkur [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Tumkur [ 7014168258 ] Call Me For Genuine Models We...
 
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With OrangePredicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
Predicting HDB Resale Prices - Conducting Linear Regression Analysis With Orange
 
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
5CL-ADBA,5cladba, Chinese supplier, safety is guaranteed
 
Computer science Sql cheat sheet.pdf.pdf
Computer science Sql cheat sheet.pdf.pdfComputer science Sql cheat sheet.pdf.pdf
Computer science Sql cheat sheet.pdf.pdf
 
Digital Transformation Playbook by Graham Ware
Digital Transformation Playbook by Graham WareDigital Transformation Playbook by Graham Ware
Digital Transformation Playbook by Graham Ware
 
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
Top profile Call Girls In Bihar Sharif [ 7014168258 ] Call Me For Genuine Mod...
 
Aspirational Block Program Block Syaldey District - Almora
Aspirational Block Program Block Syaldey District - AlmoraAspirational Block Program Block Syaldey District - Almora
Aspirational Block Program Block Syaldey District - Almora
 
20240412-SmartCityIndex-2024-Full-Report.pdf
20240412-SmartCityIndex-2024-Full-Report.pdf20240412-SmartCityIndex-2024-Full-Report.pdf
20240412-SmartCityIndex-2024-Full-Report.pdf
 
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Vadodara [ 7014168258 ] Call Me For Genuine Models ...
 
Abortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get CytotecAbortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get Cytotec
 
Gomti Nagar & best call girls in Lucknow | 9548273370 Independent Escorts & D...
Gomti Nagar & best call girls in Lucknow | 9548273370 Independent Escorts & D...Gomti Nagar & best call girls in Lucknow | 9548273370 Independent Escorts & D...
Gomti Nagar & best call girls in Lucknow | 9548273370 Independent Escorts & D...
 
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
Sealdah % High Class Call Girls Kolkata - 450+ Call Girl Cash Payment 8005736...
 
怎样办理圣地亚哥州立大学毕业证(SDSU毕业证书)成绩单学校原版复制
怎样办理圣地亚哥州立大学毕业证(SDSU毕业证书)成绩单学校原版复制怎样办理圣地亚哥州立大学毕业证(SDSU毕业证书)成绩单学校原版复制
怎样办理圣地亚哥州立大学毕业证(SDSU毕业证书)成绩单学校原版复制
 
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book nowVadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
Vadodara 💋 Call Girl 7737669865 Call Girls in Vadodara Escort service book now
 

Food deserts in South Dakota

  • 1. Food Deserts in South Dakota Nimish Sheth
  • 2. The Food Desert Metaphor 2  First used in the U.K. to describe lack of access to food due to grocery store closures in deteriorating neighborhoods in cities  Uneven distribution of consumer food sources leads to areas of concentration and places with limited or non- existent access to food choices (Morton,2005)  Differential access to healthy and affordable food based on socio-economic conditions (Beaulac,Kristjansson,and Cummins,2009)
  • 3. Food Desert in the U.S. context 3  In the U.S., proliferation of convenience stores and mini- marts provides increased access to food  Clouds quality, nutritional, and affordability factors  Food desert alternately defined as residential proximity to large food retailers (Morton and Blanchard,2007)
  • 4. Goals 4  Identify and characterize food deserts in South Dakota, a large rural state, based on geographic access to retail food  Use GIS for identifying food deserts – regions with limited or non-existent geographic access to large food retailers  Create a set of maps to visualize the process of categorizing food deserts  Characterize food deserts vs. non-food deserts to gain socio- economic insights, if any
  • 5. Methodology 5  Calculate distance between residential locations and supermarkets  Locate cities, counties, and major roads in the state to visualize the relative locations of supermarkets and food deserts  Aggregate distances by census tract to identify and characterize food deserts
  • 6. Data for South Dakota 6 Data Source Census Blocks U.S. Census Bureau Census Tracts U.S. Census Bureau Census Tract Demographics U.S. Census Bureau Supermarkets (except convenience stores) ReferenceUSA Roads South Dakota Dept. of Transportation Cities MGIS (Price), U.S. Census Bureau State, Counties MGIS (Price)
  • 7. Data Processing 7 Project Data NAD83 SPCS South Dakota South FIPS4002 Create GDB Import data Calculate Census Block Centroids Map Supermarkets (lat/long) Closest Supermarket to Block Centroid Simple Distance join Mean Distance to Supermarket by Census Tract Summarized Inside joinCreate choropleth map Mean Distance by Tract Create series of maps to visualize analysis Assemble Data Analyze characteristics of food & non-food deserts in ArcMap and Excel
  • 8. ^ Aberdeen Brookings Watertown Rapid City Sioux Falls Pierre South Dakota, U.S. 0 30 60 90 12015 Miles ^ Capital Cities (2000 pop.> 5,000) Census Tracts Map Author: Nimish Sheth, 2009 : 8  Large, rural Midwestern state - 75,885 sq. miles  2000 population - 754,844; Pop. density – 9.9/sq. mile  2000 per capita money income - $17,562  13.2% of the population below the poverty line (poverty threshold: 1 person - $8,794; Family (3) - $13,861) From US Census Bureau
  • 9. #*#* #* #* #* #* #* #* #* #* #*#* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #*#*#*#* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #*#* #*#*#*#* #* #* #* #* #* #* #* #* #* #* #* #* #* #*#*#* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #* #*#*#* #* #* #* #* #* #* #* #* #* #* #* #* #*#*#*#* #* #* #* #* #* #* #* #*#* #* #* #* #* #* #* #*#* #* #* #* #* #* #* #* #* #* #* #* ^ Aberdeen Brookings Watertown Rapid City Sioux Falls Pierre Census Tracts and Supermarkets in South Dakota 0 30 60 90 12015 Miles ^ Capital #* Supermarkets Census Tracts Roads Interstate Rural Principal Arterial Other Cities (2000 pop. > 5,000) Map Author: Nimish Sheth, 2009 : 9  66 counties  235 census tracts  77,951 census blocks  144 supermarkets (NAICS code 445110 & 2,500+ sq. ft.)
  • 10. 10  Closest supermarket to block centroid  Mean distance by census tract #* #* #* !( 1.48 miles 1.52 miles 460359629001046 Walmart Supercenter County Fair Food Store Closest supermarket to block centroid !( Block 460359629001046 #* Supermarkets Roads Interstate Rural Principal Arterial Other Block Centroid Census Tract 0 0.5 1 1.5 20.25 Miles Map Author: Nimish Sheth, 2009 :
  • 11. Average Distance to Supermarkets by Census Tract Mean Distance to Supermarkets by Census Tract (miles) #* Supermarkets 0 - 1 1 - 4 4 - 8 8 - 12 > 12 0 30 60 90 12015 Miles Map Author: Nimish Sheth, 2009 : 11  Avg. U.S. grocery trip: 8 miles – 1995 Natl.Transportation Survey (Morton & Blanchard,2007)  Tracts with a mean distance > 12 miles deemed food desert  75 of 235 tracts identified as food deserts (31.9%)  account for 16.9% of state population  mean distance to supermarket is 17.5 miles vs. 6.3 miles for non-food deserts
  • 12. Characteristics of Food Deserts 12 Characteristic Food Desert Tracts Non-Food Desert Tracts Median Household Income 26,156 34,600 Population 18 and over 75,321 473,450 Percent population 20 to 34 14.4 19.8 Percent population 65 and up 15.1 14.2 Percent rural population 93.7 40.4 Total Housing Units 49,109 274,099 Percentage of people with High School diploma or more, age 25 and more 78.3 84.0 Percent disabled, 21-64 years 18.6 15.1 Percent disabled, 65 and over 39.4 39.6 Percent families in poverty 16.4 8.1 Percent individuals in poverty 22.1 11.6 Percent 65 and over in poverty 22.0 11.0
  • 13. 13 • Of the 20 poorest tracts (based on individual poverty rate), 15 identified as food deserts • 5 of these 15 tracts are among the 20 tracts with the lowest educational attainment (based on percentage of people with High School diploma or more) • Of the 20 tracts with the lowest educational attainment, 14 identified as food deserts • Of the 20 food deserts with the greatest distance from supermarkets: • 4 are among the top 20 tracts with greatest rate of individual poverty • 3 are among the top 20 tracts with the least educational attainment • 2 are among the top 20 tracts with the least median household Income !( !( !( !( !( !( !( !( !( !( !( !(!( !( !( ^ Pierre Aberdeen Brookings Watertown Rapid City Sioux Falls Food Desert Categorization of CensusTracts 0 30 60 90 12015 Miles ^ Capital !( Cities (2000 pop. > 5,000) Counties Food Desert Census Tract Non-Food Desert Census Tract Map Author: Nimish Sheth, 2009 :
  • 14. Limitations and Future Research 14  Block centroids are a gross approximation of residential locations  Euclidean distance not reflective of true travel distance  Residents not constrained by state boundaries  Home/community gardens, farmers’ markets, etc. not considered  Economic and Informational food access
  • 15. References 15  U.S. Census Bureau  ReferenceUSA  South Dakota Dept. ofTransportation  Price, M. Mastering ArcGIS, 4th Edition (Exercise Data)  Morton, L.W. and Blanchard,T.C. (2007). “Starved for Access: Life in Rural America’s Food Deserts.” Rural Realities 1 (4): 1-10.  Morton, L.W. et al., (2005). “Solving the Problems of Iowa Food Deserts: Food Insecurity and Perceptions of Civic Structure.” Rural Sociology 70 (1): 94-112.