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CSFR:	
  Poten,al	
  Recipient	
  Sites	
  Analysis
Introduc)on:	
  The	
  Colorado	
  Springs	
  Food	
  Rescue	
  is	
  a	
  nonprofit	
  that	
  is	
  shi<ing	
  their	
  focus	
  from	
  food	
  insecurity	
  to	
  
health	
  equity.	
  	
  They	
  are	
  trying	
  to	
  tackle	
  the	
  dispari,es	
  in	
  health	
  outcomes	
  for	
  different	
  popula,ons	
  that	
  are	
  
nutri,onally	
  based.	
  Food	
  “deserts”	
  have	
  been	
  associated	
  with	
  nega,ve	
  health	
  outcomes	
  such	
  as	
  obesity	
  and	
  
diabetes	
  and	
  unhealthy	
  food	
  environments	
  are	
  associated	
  with	
  neighborhoods	
  with	
  high	
  percentage	
  of	
  African	
  
American	
  residents	
  (Gordon).	
  McEntee	
  and	
  Agyeman	
  breakdown	
  food	
  access	
  into	
  three	
  categories:	
  informa,onal,	
  
economic,	
  and	
  geographic.	
  	
  This	
  project	
  aims	
  to	
  display	
  the	
  need	
  for	
  food	
  redistribu,on	
  (geographic),	
  food	
  educa,on	
  
(informa,onal),	
  and	
  policy	
  changes	
  (economic)	
  concerning	
  food	
  access	
  to	
  disadvantaged	
  communi,es	
  in	
  Colorado	
  
Springs.	
  	
  It	
  will	
  compare	
  the	
  number	
  of	
  grocery	
  stores	
  with	
  fresh	
  produce	
  to	
  convenience	
  stores	
  within	
  a	
  third	
  of	
  a	
  
mile	
  to	
  poten,al	
  sites.	
  This	
  project	
  will	
  also	
  compare	
  the	
  socio-­‐demographics	
  of	
  tracts	
  containing	
  poten,al	
  sites	
  to	
  
help	
  determine	
  where	
  expansion	
  should	
  primarily	
  take	
  place	
  and	
  display	
  the	
  need	
  for	
  this	
  non	
  profit	
  in	
  Colorado	
  
Springs	
  .	
  
Methods:	
  I	
  used	
  GIS	
  to	
  collate	
  poten,al	
  recipient	
  sites	
  as	
  found	
  by	
  the	
  Colorado	
  Springs	
  
Food	
  Rescue,	
  convenience	
  stores,	
  and	
  grocery	
  stores	
  with	
  fresh	
  produce	
  in	
  the	
  city	
  of	
  
Colorado	
  Springs.	
  I	
  imposed	
  a	
  .33	
  mile	
  buffer	
  around	
  each	
  site	
  and	
  then	
  spa,ally	
  joined	
  
them	
  with	
  the	
  grocery/	
  convenience	
  store	
  loca,ons	
  to	
  determine	
  which	
  sites	
  had	
  stores	
  
within	
  a	
  third	
  of	
  a	
  mile. Then, I used census tract information to determine the socio-
demographics of the tracts with potential sites and imported this data into STATA to run
bivariate analyses. In STATA I created two dummy variables, one for grocery store presence
and one for convenience store presence. Each had three components: 0= tracts with no sites,
1= tracts with sites with no grocery/convenience stores with a third of a mile, and 2= tracts
with sites with grocery/convenience stores within a third of a mile. Using these variables I
ran ANOVA tests to compare the means for various percent impoverished, percent minority,
and percent without a vehicle across the tracts.
Variable	
   Tracts	
  with	
  no	
  
sites	
  
Tracts	
  with	
  
sites	
  but	
  no	
  
groceries	
  
Tracts	
  with	
  
sites	
  and	
  
groceries	
  
F	
  
sta,s,c	
  
Percent	
  
Impoverished	
  
10.9%	
   21.2%	
   16.8%	
   14.36**
*	
  
Percent	
  Minority	
   24.2%	
   40.4%	
   33.4%	
   13.86**
*	
  
Percent	
  No	
  vehicle	
   2.6%	
   4.5%	
   3.3%	
   2.51	
  
Variable	
   Tracts	
  with	
  
no	
  sites	
  
Tracts	
  with	
  sites	
  but	
  
no	
  convenience	
  
stores	
  
Tracts	
  with	
  sites	
  
and	
  convenience	
  
stores	
  
F	
  sta,s,c	
  
Percent	
  
Impoverished	
  
10.9%	
   15.1%	
   21.3%	
   15.23***	
  
Percent	
  
Minority	
  
24.2%	
   32.9%	
   40%	
   13.7***	
  
Percent	
  No	
  
vehicle	
  
2.6%	
   3%	
   4.5%	
   2.68	
  
b Potential Sites
Percent Impoverished
0.4% - 8%
8.1% - 15.5%
15.6% - 28.3%
28.4% - 48.7%
b Potential Sites
Percent Minority
7% - 18.6%
18.7% - 29.4%
29.5% - 45.2%
45.3% - 75.7%
b Potential Sites
Percent with No Vehicle
0% - 3%
3.1% - 7.2%
7.3% - 13.2%
13.3% - 26.2%
Figures	
  1-­‐3.	
  GIS	
  Maps	
  Displaying	
  a	
  census	
  tract	
  breakdown	
  of	
  percent	
  impoverished,	
  percent	
  
minority,	
  and	
  percent	
  without	
  	
  a	
  vehicle	
  in	
  Colorado	
  Springs.	
  	
  
Tables	
  1-­‐2.	
  ANOVA	
  Results	
  for	
  Grocery	
  and	
  Convenience	
  Stores	
  
within	
  a	
  third	
  of	
  a	
  mile.	
  	
  
Figures	
  4-­‐5.	
  	
  Box	
  Plots	
  of	
  Means	
  for	
  Percent	
  
Impoverished	
  for	
  Grocery	
  and	
  Convenience	
  Stores	
  within	
  
a	
  third	
  of	
  a	
  mile.	
  	
  
Results:	
  Figures	
  1-­‐3	
  display	
  census	
  tracts	
  for	
  
Colorado	
  Springs	
  with	
  color	
  scale	
  for	
  percent	
  
impoverished,	
  percent	
  minority,	
  and	
  percent	
  
without	
  a	
  vehicle	
  for	
  each	
  tract.	
  The	
  poten,al	
  
sites	
  for	
  CSFR	
  are	
  layered	
  on	
  top	
  to	
  show	
  their	
  
distribu,on	
  across	
  typically	
  disadvantaged	
  
communi,es.	
  Almost	
  all	
  sites	
  are	
  located	
  in	
  
darker	
  areas	
  of	
  the	
  map,	
  with	
  excep,on	
  in	
  
Figure	
  3.	
  Park	
  Meadows	
  Community	
  Center	
  is	
  
the	
  only	
  site	
  located	
  in	
  a	
  dark	
  red	
  tract	
  in	
  
Figure	
  3,	
  however	
  ANOVA	
  tests	
  showed	
  lible	
  
difference	
  in	
  average	
  percent	
  with	
  no	
  vehicle	
  
across	
  tracts.	
  A<er	
  crea,ng	
  a	
  third	
  of	
  a	
  mile	
  
buffer	
  around	
  each	
  of	
  the	
  sites	
  and	
  spa,ally	
  
joining	
  them	
  with	
  grocery	
  stores	
  that	
  sell	
  
fresh	
  produce,	
  only	
  three	
  sites	
  contained	
  a	
  
grocery	
  store	
  within	
  the	
  buffer.	
  Contrarily,	
  
almost	
  all	
  buffers	
  contained	
  a	
  convenience	
  
store	
  within	
  a	
  third	
  of	
  a	
  mile.	
  	
  Tables	
  1-­‐2	
  show	
  
the	
  ANOVA	
  results	
  for	
  the	
  average	
  means	
  
across	
  tracts	
  without	
  sites,	
  with	
  sites	
  but	
  no	
  
grocery/convenience,	
  and	
  tracts	
  with	
  sites	
  
with	
  grocery/convenience	
  stores	
  within	
  a	
  
third	
  of	
  a	
  mile.	
  There	
  was	
  a	
  significant	
  
difference	
  in	
  means	
  across	
  tracts	
  for	
  percent	
  
impoverished	
  (F(2,101)=15.23	
  and	
  14.36,	
  p=.
000)	
  and	
  percent	
  minority	
  (F(2,101)=13.7	
  and	
  
13.86,	
  p=.000).,	
  but	
  not	
  percent	
  without	
  a	
  
vehicle	
  (F(2,101)=2.68	
  and	
  2.51,	
  p>.05).	
  	
  While	
  
owning	
  a	
  vehicle	
  would	
  be	
  crucial	
  to	
  gefng	
  to	
  
a	
  grocery	
  store	
  more	
  than	
  a	
  third	
  of	
  a	
  mile	
  
from	
  your	
  house,	
  owning	
  a	
  vehicle	
  would	
  not	
  
stop	
  someone	
  from	
  choosing	
  to	
  shop	
  at	
  their	
  
convenience	
  store	
  down	
  the	
  block	
  instead.	
  
The	
  boxplots	
  in	
  Figures	
  4-­‐5	
  illustrate	
  the	
  
distribu,on	
  of	
  tracts	
  for	
  percent	
  impoverished	
  
by	
  proximity	
  to	
  sites	
  and	
  grocery/convenience	
  
stores.	
  They	
  add	
  to	
  the	
  associa,on	
  of	
  CSFR	
  
poten,al	
  recipient	
  site	
  tracts	
  having	
  higher	
  
means	
  of	
  poverty	
  and	
  not	
  only	
  less	
  access	
  to	
  
healthy	
  foods,	
  but	
  greater	
  access	
  to	
  unhealthy	
  
ones.	
  	
  
Discussion:	
  Previous	
  studies	
  have	
  shown	
  the	
  associa,on	
  between	
  food	
  
deserts	
  and	
  nega,ve	
  health	
  outcomes.	
  	
  The	
  Colorado	
  Springs	
  Food	
  rescue	
  
is	
  working	
  to	
  combat	
  these	
  health	
  dispari,es	
  in	
  disadvantaged	
  
communi,es	
  by	
  redistribu,ng	
  food	
  that	
  would	
  otherwise	
  be	
  wasted.	
  This	
  
analysis	
  has	
  shown	
  that	
  the	
  sites	
  they	
  hope	
  to	
  expand	
  to	
  are	
  
predominately	
  located	
  in	
  food	
  deserts	
  in	
  terms	
  of	
  fresh	
  produce.	
  
Conversely,	
  most	
  of	
  these	
  sites	
  have	
  convenience	
  stores	
  within	
  a	
  third	
  of	
  
mile	
  which	
  are	
  indeed	
  convenient	
  but	
  offer	
  less	
  healthy	
  food	
  choices.	
  
Through	
  expansion	
  to	
  these	
  sites	
  the	
  Colorado	
  Springs	
  Food	
  Rescue	
  plans	
  
to	
  have	
  food	
  be	
  distributed	
  to	
  parents	
  at	
  schools	
  and	
  through	
  community	
  
markets	
  in	
  community	
  centers	
  and	
  mobile	
  home	
  parks.	
  They	
  also	
  hope	
  to	
  
begin	
  educa,ng	
  their	
  clientele	
  	
  on	
  healthy	
  op,ons	
  in	
  their	
  area	
  and	
  how	
  to	
  
prepare	
  the	
  food	
  being	
  distributed.	
  As	
  their	
  organiza,on	
  grows	
  they	
  hope	
  
to	
  gain	
  the	
  poli,cal	
  power	
  to	
  enact	
  food	
  policy	
  changes	
  that	
  tackle	
  these	
  
health	
  dispari,es.	
  	
  
*p<.05	
  **p<.01	
  ***p<.001	
  (two-­‐tailed	
  test	
  of	
  significance)	
  

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Recipient Site Analysis - CSFR

  • 1. CSFR:  Poten,al  Recipient  Sites  Analysis Introduc)on:  The  Colorado  Springs  Food  Rescue  is  a  nonprofit  that  is  shi<ing  their  focus  from  food  insecurity  to   health  equity.    They  are  trying  to  tackle  the  dispari,es  in  health  outcomes  for  different  popula,ons  that  are   nutri,onally  based.  Food  “deserts”  have  been  associated  with  nega,ve  health  outcomes  such  as  obesity  and   diabetes  and  unhealthy  food  environments  are  associated  with  neighborhoods  with  high  percentage  of  African   American  residents  (Gordon).  McEntee  and  Agyeman  breakdown  food  access  into  three  categories:  informa,onal,   economic,  and  geographic.    This  project  aims  to  display  the  need  for  food  redistribu,on  (geographic),  food  educa,on   (informa,onal),  and  policy  changes  (economic)  concerning  food  access  to  disadvantaged  communi,es  in  Colorado   Springs.    It  will  compare  the  number  of  grocery  stores  with  fresh  produce  to  convenience  stores  within  a  third  of  a   mile  to  poten,al  sites.  This  project  will  also  compare  the  socio-­‐demographics  of  tracts  containing  poten,al  sites  to   help  determine  where  expansion  should  primarily  take  place  and  display  the  need  for  this  non  profit  in  Colorado   Springs  .   Methods:  I  used  GIS  to  collate  poten,al  recipient  sites  as  found  by  the  Colorado  Springs   Food  Rescue,  convenience  stores,  and  grocery  stores  with  fresh  produce  in  the  city  of   Colorado  Springs.  I  imposed  a  .33  mile  buffer  around  each  site  and  then  spa,ally  joined   them  with  the  grocery/  convenience  store  loca,ons  to  determine  which  sites  had  stores   within  a  third  of  a  mile. Then, I used census tract information to determine the socio- demographics of the tracts with potential sites and imported this data into STATA to run bivariate analyses. In STATA I created two dummy variables, one for grocery store presence and one for convenience store presence. Each had three components: 0= tracts with no sites, 1= tracts with sites with no grocery/convenience stores with a third of a mile, and 2= tracts with sites with grocery/convenience stores within a third of a mile. Using these variables I ran ANOVA tests to compare the means for various percent impoverished, percent minority, and percent without a vehicle across the tracts. Variable   Tracts  with  no   sites   Tracts  with   sites  but  no   groceries   Tracts  with   sites  and   groceries   F   sta,s,c   Percent   Impoverished   10.9%   21.2%   16.8%   14.36** *   Percent  Minority   24.2%   40.4%   33.4%   13.86** *   Percent  No  vehicle   2.6%   4.5%   3.3%   2.51   Variable   Tracts  with   no  sites   Tracts  with  sites  but   no  convenience   stores   Tracts  with  sites   and  convenience   stores   F  sta,s,c   Percent   Impoverished   10.9%   15.1%   21.3%   15.23***   Percent   Minority   24.2%   32.9%   40%   13.7***   Percent  No   vehicle   2.6%   3%   4.5%   2.68   b Potential Sites Percent Impoverished 0.4% - 8% 8.1% - 15.5% 15.6% - 28.3% 28.4% - 48.7% b Potential Sites Percent Minority 7% - 18.6% 18.7% - 29.4% 29.5% - 45.2% 45.3% - 75.7% b Potential Sites Percent with No Vehicle 0% - 3% 3.1% - 7.2% 7.3% - 13.2% 13.3% - 26.2% Figures  1-­‐3.  GIS  Maps  Displaying  a  census  tract  breakdown  of  percent  impoverished,  percent   minority,  and  percent  without    a  vehicle  in  Colorado  Springs.     Tables  1-­‐2.  ANOVA  Results  for  Grocery  and  Convenience  Stores   within  a  third  of  a  mile.     Figures  4-­‐5.    Box  Plots  of  Means  for  Percent   Impoverished  for  Grocery  and  Convenience  Stores  within   a  third  of  a  mile.     Results:  Figures  1-­‐3  display  census  tracts  for   Colorado  Springs  with  color  scale  for  percent   impoverished,  percent  minority,  and  percent   without  a  vehicle  for  each  tract.  The  poten,al   sites  for  CSFR  are  layered  on  top  to  show  their   distribu,on  across  typically  disadvantaged   communi,es.  Almost  all  sites  are  located  in   darker  areas  of  the  map,  with  excep,on  in   Figure  3.  Park  Meadows  Community  Center  is   the  only  site  located  in  a  dark  red  tract  in   Figure  3,  however  ANOVA  tests  showed  lible   difference  in  average  percent  with  no  vehicle   across  tracts.  A<er  crea,ng  a  third  of  a  mile   buffer  around  each  of  the  sites  and  spa,ally   joining  them  with  grocery  stores  that  sell   fresh  produce,  only  three  sites  contained  a   grocery  store  within  the  buffer.  Contrarily,   almost  all  buffers  contained  a  convenience   store  within  a  third  of  a  mile.    Tables  1-­‐2  show   the  ANOVA  results  for  the  average  means   across  tracts  without  sites,  with  sites  but  no   grocery/convenience,  and  tracts  with  sites   with  grocery/convenience  stores  within  a   third  of  a  mile.  There  was  a  significant   difference  in  means  across  tracts  for  percent   impoverished  (F(2,101)=15.23  and  14.36,  p=. 000)  and  percent  minority  (F(2,101)=13.7  and   13.86,  p=.000).,  but  not  percent  without  a   vehicle  (F(2,101)=2.68  and  2.51,  p>.05).    While   owning  a  vehicle  would  be  crucial  to  gefng  to   a  grocery  store  more  than  a  third  of  a  mile   from  your  house,  owning  a  vehicle  would  not   stop  someone  from  choosing  to  shop  at  their   convenience  store  down  the  block  instead.   The  boxplots  in  Figures  4-­‐5  illustrate  the   distribu,on  of  tracts  for  percent  impoverished   by  proximity  to  sites  and  grocery/convenience   stores.  They  add  to  the  associa,on  of  CSFR   poten,al  recipient  site  tracts  having  higher   means  of  poverty  and  not  only  less  access  to   healthy  foods,  but  greater  access  to  unhealthy   ones.     Discussion:  Previous  studies  have  shown  the  associa,on  between  food   deserts  and  nega,ve  health  outcomes.    The  Colorado  Springs  Food  rescue   is  working  to  combat  these  health  dispari,es  in  disadvantaged   communi,es  by  redistribu,ng  food  that  would  otherwise  be  wasted.  This   analysis  has  shown  that  the  sites  they  hope  to  expand  to  are   predominately  located  in  food  deserts  in  terms  of  fresh  produce.   Conversely,  most  of  these  sites  have  convenience  stores  within  a  third  of   mile  which  are  indeed  convenient  but  offer  less  healthy  food  choices.   Through  expansion  to  these  sites  the  Colorado  Springs  Food  Rescue  plans   to  have  food  be  distributed  to  parents  at  schools  and  through  community   markets  in  community  centers  and  mobile  home  parks.  They  also  hope  to   begin  educa,ng  their  clientele    on  healthy  op,ons  in  their  area  and  how  to   prepare  the  food  being  distributed.  As  their  organiza,on  grows  they  hope   to  gain  the  poli,cal  power  to  enact  food  policy  changes  that  tackle  these   health  dispari,es.     *p<.05  **p<.01  ***p<.001  (two-­‐tailed  test  of  significance)