You are required to write one memo that responds to

by

You are required to write one memo that responds to the problem(s) identified in the ‘Wascally Wabbits case.’ 

Imagine you are a policy advisor to Mayor Philips (the fictional Mayor of Eastport, OR). The city is responsible for managing the trails around the city. Recently, a large number of homeless people have been observed living in the woods around some of the trails and residents have expressed considerable concerns about litter and refuse. Many of the homeless people enter Eastport during the day to panhandle, purchase food, seek medical attention, to seek casual work. The local police and city officials have proposed several options (see the case) and the Mayor has asked you to explore the issue in detail and propose a potential strategy based on what has worked successfully in other cities or can be justified by theory.

You will need to conduct additional research to support your memo. 

References should be included in the appendix and in-text citations should follow APA format (last name, date). The format outline is linked below.

  • CopyofHousingstatistics.xlsx

  • Rabbitscasetext.docx

  • Memo_Template_DOC.docx

Housing data

Single family homes (SFH) Apartments
2 bd (% of SFH) % owner-occupier 3 bd ( (% of SFH) % owner-occupier 4 bd + ( (% of SFH) % owner-occupier Total % of SFH in Eastport) 1bd (% of App) % owner-occupier 2 bd (% of App) % owner-occupier 3bd + ((% of App) % owner-occupier Total % of Appartments in Eastport Median Rent (Eastport) US median rent
2000 10 95 75 98 15 99 85 15 10 70 10 15 5 15
2001 10 95 75 98 15 99 85 15 10 70 20 15 5 15
2002 10 95 75 98 15 99 85 15 10 70 20 15 5 15
2003 10 95 75 98 15 99 85 15 10 70 20 15 5 15
2004 10 95 75 98 15 99 85 15 10 70 20 15 5 15
2005 5 95 70 98 25 99 85 15 10 70 20 15 5 15 886 910
2006 5 95 70 98 25 99 82 15 10 70 20 15 5 18 877 937
2007 5 95 70 98 25 99 82 15 10 70 20 15 5 18 873 927
2008 5 95 75 90 20 99 82 15 10 70 20 15 5 18 924 960
2009 5 85 75 90 20 99 82 15 10 75 20 10 5 18 933 976
2010 5 85 75 90 20 99 82 10 5 80 10 10 5 18 912 955
2011 3 85 77 90 20 99 82 10 5 80 10 10 5 18 907 941
2012 3 85 77 90 20 99 81 10 5 80 10 10 5 19 917 940
2013 3 85 77 90 20 99 81 10 5 80 10 10 5 19 934 953
2014 3 85 77 90 20 99 80 10 5 80 10 10 5 20 976 986
2015 3 85 72 90 25 99 80 10 5 80 10 10 2 20 1000 1017
2016 3 85 72 90 25 99 80 10 5 80 10 10 2 20 1063 1027
2017 3 85 72 90 25 99 80 10 5 80 10 10 2 20 1113 1043
2018 3 80 72 90 25 99 80 10 5 80 10 10 2 20 1150 1097
2019 3 80 77 90 20 99 80 10 5 80 10 10 2 20 1195 1493
2020 3 80 77 90 20 99 80 10 5 80 10 10 2 20 1173 1781
2021 3 80 77 90 20 99 80 10 5 80 10 10 2 20 1282 2053
2022 3 80 77 90 20 99 80 10 5 80 10 10 2 20 1282 2093
2023 3 80 77 90 20 99 80 10 5 80 10 10 2 20

Rental and Housing costs

Rental Cost Growth Income growth Rent as % of Gross monthly income
2006 -1.02% 2.79% 19.84%
2007 -0.46% 2.86% 19.21%
2008 5.84% -0.38% 19.77%
2009 0.97% -2.96% 20.04%
2010 -2.25% -5.80% 20.19%
2011 -0.55% -0.16% 21.31%
2012 1.10% -0.19% 21.58%
2013 1.85% 2.26% 22.02%
2014 4.50% 3.71% 22.49%
2015 2.46% 3.06% 23.09%
2016 6.30% 3.31% 23.25%
2017 4.70% 5.28% 23.04%
2018 3.32% 1.52% 23.56%
2019 3.91% -0.15% 24.22%
2020 -1.84% 0.29% 23.27%
2021 9.29% 4.64% 24.78%
2022 0.00% -2.11% 24.37%
2023

Rental and Income Data

Rental Cost Growth 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 -1.0158013544018058E-2 -4.5610034207525657E-3 5.8419243986254296E-2 9.74025974025974E-3 -2.2508038585209004E-2 -5.4824561403508769E-3 1.1025358324145534E-2 1.8538713195201745E-2 4.4967880085653104E-2 2.4590163934426229E-2 6.3E-2 4.7036688617121354E-2 3.324348607367475E-2 3.9130434782608699E-2 -1.8410041841004185E-2 9.2924126172208008E-2 0 Income growth 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2.786951997466398E-2 2.8566398168933606E-2 -3.794362661189181E-3 -2.958274864686844E-2 -5.8003305199787546E-2 -1.566391503892483E-3 -1.9453726800645894E-3 2.264286691242616E-2 3.7120141342756187E-2 3.0629801877310438E-2 3.3124514454784378E-2 5.2765467257571634E-2 1.5212534763909363E-2 -1.4520523337624622E-3 2.9233190915223745E-3 4.6382660687593426E-2 -2.1141951059240317E-2 Rent as % of Gross monthly income 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 0.19838935891055512 0.1921299352964479 0.19770626497774732 0.20039233655030211 0.20185327273800385 0.21310756410457229 0.21579517108297638 0.22022415392112168 0.22487442974978111 0.23092910476483722 0.23248184760738341 0.23041888068456284 0.23564929919947539 0.24222972972972975 0.23273809523809524 0.2478028916780495 0.24372623574144486

Homelessness

Eastport Pop. Homeless Pop. (low) Homless Pop. High) % of homeless men % of homeless women % of homeless under 25 % of homeless under 25% who are unsheltered % of homeless registered sex offenders % of homeless who are military veterans % of homeless veterans who are unsheltered No. of vehicle 'move on' orders issued No.of 2nd 'move on' orders issued to the same vehicle
95% CI 95% CI
2006 45980 800 1400 56% 44% 17% 5% 0.50% 20% 80% 200 40
2007 45460 790 1400 56% 44% 16% 5% 0.75% 20% 80% 250 50
2008 45698 850 1550 56% 44% 20% 5% 0.50% 25% 80% 300 60
2009 45436 860 1550 56% 44% 15% 5% 1.00% 25% 80% 376 76
2010 45191 900 1600 56% 44% 15% 5% 0.50% 30% 80% 400 80
2011 45127 800 1500 56% 44% 10% 5% 0.50% 30% 80% 450 90
2012 45662 850 1450 56% 44% 10% 5% 0.50% 20% 80% 500 100
2013 45600 840 1450 56% 44% 10% 5% 1.00% 15% 80% 540 108
2014 45404 800 1300 56% 44% 10% 5% 0.75% 15% 80% 600 120
2015 45674 790 1400 56% 44% 10% 5% 0.75% 15% 80% 620 124
2016 44937 780 1300 56% 54% 10% 5% 0.75% 15% 80% 666 133
2017 45736 800 1350 56% 54% 15% 5% 0.80% 15% 80% 701 145
2018 46054 810 1200 54% 46% 15% 5% 0.50% 15% 80% 702 150
2019 47870 500 900 50% 50% 12% 5% 0.50% 15% 80% 100 25
2020 46,500 500 800 50% 50% 15% 5% 0.40% 12% 80% 100 26
2021 45,008 550 850<

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