Data source

Author

Naveed Ahmad

The data source for this document is the Gini Index from the ACS 2020
(American Community Survey 5-Year Estimates), which is a standard
measure of income inequality within a geographic area.

Variable ID is B19083_001 and the title of the table is Gini Index of Income Inequality.
This table provides data of counties having income inequality in U.S.A under five columns. A specimen sample is as under:

Code used to extract state-level Gini Index & Output

gini_states <- get_acs(
  geography = "state",
  variables = "B19083_001",
  year = 2020,
  survey = "acs5"

Sample Output (first 6 rows)

# A tibble: 6 × 5
  GEOID NAME       variable     estimate    moe
  <chr> <chr>      <chr>           <dbl>   <dbl>
1 01    Alabama    B19083_001      0.478  0.0023
2 02    Alaska     B19083_001      0.423  0.0046
3 04    Arizona    B19083_001      0.466  0.0027
4 05    Arkansas   B19083_001      0.479  0.0044
5 06    California B19083_001      0.487  0.0010
6 08    Colorado   B19083_001      0.456  0.0021

Procedure:

For comparsion of income inequality, 20 counties having highest income inequality were selected with name of county and estimes:

code to access data of 20 counties & Output

gini_data_clean |>
  arrange(desc(Gini_Index)) |>
  slice_head(n = 20)
 Output:
 tibble: 20 × 2
   County                           Gini_Index
   <chr>                                 <dbl>
 1 Harding County, New Mexico            0.696
 2 East Carroll Parish, Louisiana        0.652
 3 Humphreys County, Mississippi         0.636
 4 Mayagüez Municipio, Puerto Rico       0.619
 5 Buena Vista city, Virginia            0.616
 6 Bossier Parish, Louisiana             0.611
 7 San Juan Municipio, Puerto Rico       0.610
 8 New York County, New York             0.595
 9 Claiborne County, Mississippi         0.589
10 Lee County, Arkansas                  0.589
11 Dickenson County, Virginia            0.584
12 Moca Municipio, Puerto Rico           0.581
13 Leflore County, Mississippi           0.581
14 Lake County, Tennessee                0.578
15 Ponce Municipio, Puerto Rico          0.572
16 Aguadilla Municipio, Puerto Rico      0.571
17 Radford city, Virginia                0.568
18 Issaquena County, Mississippi         0.568
19 Shenandoah County, Virginia           0.568
20 Orleans Parish, Louisiana             0.566

AI was used throughout the process