Social Capital

##      county      county_name           pop2018           ec_county     
##  Min.   : 1001   Length:3089        Min.   :     544   Min.   :0.2947  
##  1st Qu.:18161   Class :character   1st Qu.:   12630   1st Qu.:0.6956  
##  Median :29135   Mode  :character   Median :   27887   Median :0.8068  
##  Mean   :30219                      Mean   :  108010   Mean   :0.8145  
##  3rd Qu.:45049                      3rd Qu.:   72728   3rd Qu.:0.9368  
##  Max.   :56045                      Max.   :10098052   Max.   :1.3597  
##                                     NA's   :106        NA's   :71

## Rows: 3,089
## Columns: 4
## $ county      <dbl> 1001, 1003, 1005, 1007, 1009, 1011, 1013, 1015, 1017, 1019…
## $ county_name <chr> "Autauga, Alabama", "Baldwin, Alabama", "Barbour, Alabama"…
## $ pop2018     <dbl> 55200, 208107, 25782, 22527, 57645, 10352, 20025, 115098, …
## $ ec_county   <dbl> 0.72077, 0.74313, 0.41366, 0.63152, 0.72562, 0.35515, 0.46…

## # A tibble: 3,089 × 4
##    county county_name       pop2018 ec_county
##     <dbl> <chr>               <dbl>     <dbl>
##  1   1001 Autauga, Alabama    55200     0.721
##  2   1003 Baldwin, Alabama   208107     0.743
##  3   1005 Barbour, Alabama    25782     0.414
##  4   1007 Bibb, Alabama       22527     0.632
##  5   1009 Blount, Alabama     57645     0.726
##  6   1011 Bullock, Alabama    10352     0.355
##  7   1013 Butler, Alabama     20025     0.460
##  8   1015 Calhoun, Alabama   115098     0.602
##  9   1017 Chambers, Alabama   33826     0.498
## 10   1019 Cherokee, Alabama   25853     0.605
## # … with 3,079 more rows
## # ℹ Use `print(n = ...)` to see more rows