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Delphi_utils geomapper: update to fips 2020 population estimates #1325

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Merged
merged 10 commits into from
Oct 21, 2021
Merged

Delphi_utils geomapper: update to fips 2020 population estimates #1325

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9ff0f46
Delphi_utils geomapper: update to fips 2020 population estimates
dshemetov Oct 19, 2021
b2951a0
Delphi_utils geomapper: use correct pop column in new file
dshemetov Oct 20, 2021
fec0b5f
Combo tests: remove hardcoded population values
dshemetov Oct 20, 2021
b6155a1
HHS tests: remove hardcoded population values
nmdefries Oct 20, 2021
1397383
Geomapper tests: number of counties += 1
dshemetov Oct 20, 2021
1568796
Merge branch 'geomapper-fips-pop-2020' of https://github.com/cmu-delp…
dshemetov Oct 20, 2021
80c1e1f
GS tests: remove hardcoded proportions
nmdefries Oct 20, 2021
a8e954e
JHU: remove hardcoded populations from tests
dshemetov Oct 20, 2021
ebc9951
Merge branch 'geomapper-fips-pop-2020' of https://github.com/cmu-delp…
dshemetov Oct 20, 2021
a3ff23c
Usafacts tests: remove hardcoded population values
dshemetov Oct 20, 2021
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888 changes: 0 additions & 888 deletions _delphi_utils_python/data_proc/geomap/consistency_checks.ipynb
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31 changes: 14 additions & 17 deletions _delphi_utils_python/data_proc/geomap/geo_data_proc.py
100644 → 100755
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@
FIPS_MSA_URL = "https://www2.census.gov/programs-surveys/metro-micro/geographies/reference-files/2018/delineation-files/list1_Sep_2018.xls"
JHU_FIPS_URL = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/UID_ISO_FIPS_LookUp_Table.csv"
STATE_CODES_URL = "http://www2.census.gov/geo/docs/reference/state.txt?#"
FIPS_POPULATION_URL = "https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/counties/totals/co-est2019-alldata.csv"
FIPS_POPULATION_URL = "https://www2.census.gov/programs-surveys/popest/datasets/2010-2020/counties/totals/co-est2020-alldata.csv"
FIPS_PUERTO_RICO_POPULATION_URL = (
"https://www2.census.gov/geo/docs/maps-data/data/rel/zcta_county_rel_10.txt?"
)
Expand Down Expand Up @@ -358,34 +358,31 @@ def create_fips_population_table():
census_pop["fips"] = census_pop.apply(
lambda x: f"{x['STATE']:02d}{x['COUNTY']:03d}", axis=1
)
census_pop["pop"] = census_pop["POPESTIMATE2019"]
census_pop["pop"] = census_pop["POPESTIMATE2020"]
census_pop = census_pop[["fips", "pop"]]

# Set population for Dukes and Nantucket combo county
dukes_pop = int(census_pop.loc[census_pop["fips"] == "25007", "pop"])
nantu_pop = int(census_pop.loc[census_pop["fips"] == "25019", "pop"])
census_pop = pd.concat(
[
census_pop,
pd.DataFrame(
{
"fips": ["70002", "70003"],
"pop": [0, 0],
"fips": [
"70002", # Dukes and Nantucket combo county
"70003" # Kansas City
],
"pop": [
dukes_pop + nantu_pop,
491918 # via Google
],
}
),
]
)
census_pop = census_pop.reset_index(drop=True)

# Set population for Dukes and Nantucket
dn_fips = "70002"
dukes_fips = "25007"
nantu_fips = "25019"

census_pop.loc[census_pop["fips"] == dn_fips, "pop"] = (
census_pop.loc[census_pop["fips"] == dukes_fips, "pop"].values
+ census_pop.loc[census_pop["fips"] == nantu_fips, "pop"].values
)

# Set population for Kansas City
census_pop.loc[census_pop["fips"] == "70003", "pop"] = 491918 # via Google

# Get the file with Puerto Rico populations
df_pr = pd.read_csv(FIPS_PUERTO_RICO_POPULATION_URL)
df_pr["fips"] = df_pr["STATE"].astype(str).str.zfill(2) + df_pr["COUNTY"].astype(
Expand Down
96 changes: 96 additions & 0 deletions _delphi_utils_python/data_proc/geomap/source-file-sanity-check.ipynb
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89 changes: 45 additions & 44 deletions _delphi_utils_python/delphi_utils/data/fips_hhs_table.csv
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Original file line number Diff line number Diff line change
Expand Up @@ -71,6 +71,8 @@ fips,hhs
02020,10
02050,10
02060,10
02063,10
02066,10
02068,10
02070,10
02090,10
Expand All @@ -91,7 +93,6 @@ fips,hhs
02220,10
02230,10
02240,10
02261,10
02275,10
02282,10
02290,10
Expand Down Expand Up @@ -3234,60 +3235,60 @@ fips,hhs
69100,9
69110,9
69120,9
78000,2
33000,1
27000,5
40000,6
70000,9
31000,7
09000,1
48000,6
32000,9
04000,9
30000,8
15000,9
69000,9
50000,1
25000,1
19000,7
01000,4
51000,3
41000,10
66000,9
22000,6
06000,9
39000,5
38000,8
53000,10
12000,4
46000,8
17000,5
48000,6
34000,2
08000,8
36000,2
40000,6
47000,4
28000,4
02000,10
49000,8
54000,3
20000,7
08000,8
34000,2
35000,6
45000,4
29000,7
66000,9
05000,6
41000,10
37000,4
55000,5
11000,3
02000,10
72000,2
23000,1
16000,10
44000,1
54000,3
10000,3
21000,4
28000,4
18000,5
05000,6
56000,8
36000,2
19000,7
24000,3
50000,1
37000,4
20000,7
31000,7
29000,7
27000,5
46000,8
38000,8
72000,2
23000,1
78000,2
16000,10
47000,4
22000,6
13000,4
30000,8
39000,5
18000,5
11000,3
15000,9
42000,3
35000,6
60000,9
01000,4
12000,4
10000,3
04000,9
69000,9
06000,9
33000,1
26000,5
70000,9
21000,4
60000,9
51000,3
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