Setup
Risk Level
Mean Establishment
Year
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## Warning: Removed 10 rows containing missing values or values outside the scale range
## (`geom_line()`).
Number of
Business
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Employee Size (Total
Employee)
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, total_emplo...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Business Size
(Average Employee)
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Population Level
Mean Year of
Establishment
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Warning: Removed 10 rows containing missing values or values outside the scale range
## (`geom_line()`).
Number of
Business
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Total Employee
Size
## Rows: 1000 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): NAME, avg_eal_tercile
## dbl (8): archive_version_year, CBSAFP, entry, exit, births, deaths, avg_eal,...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Warning: Removed 100 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
Business Size
(Average Employee)
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Risk and Population
Level
Mean Establishment
Year
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Warning: Removed 10 rows containing missing values or values outside the scale range
## (`geom_line()`).
Number of
Business
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Business Size
(Average Employee Size)
## Rows: 9400 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile, NAME
## dbl (8): archive_version_year, CBSAFP, rows, with_parent_number, mean_employ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Business Events
Population Level
Number of
Business
## Rows: 1000 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): NAME, avg_eal_tercile
## dbl (8): archive_version_year, CBSAFP, entry, exit, births, deaths, avg_eal,...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
Risk and Population
Level
Number of
Business
## Rows: 1000 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): NAME, avg_eal_tercile
## dbl (8): archive_version_year, CBSAFP, entry, exit, births, deaths, avg_eal,...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
Total Employee
Size
## Rows: 1000 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): NAME, avg_eal_tercile
## dbl (8): archive_version_year, CBSAFP, entry, exit, births, deaths, avg_eal,...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Business Size
(Average Employee)
## Rows: 1000 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): NAME, avg_eal_tercile
## dbl (8): archive_version_year, CBSAFP, entry, exit, births, deaths, avg_eal,...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Critical NAICS
Composition
Number of
Business
## Rows: 5694 Columns: 6
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (3): pop_tercile, avg_eal_tercile, critical
## dbl (3): archive_version_year, naics_2, row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Employee Size (Total
Employee)
## Rows: 5694 Columns: 6
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (3): pop_tercile, avg_eal_tercile, critical
## dbl (3): archive_version_year, naics_2, employees
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Chord Movements
Diagram
## Rows: 940 Columns: 4
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (1): avg_eal_tercile_all
## dbl (3): CBSAFP, avg_eal_all, tercile_all
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Rows: 100 Columns: 4
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (3): pop_tercile, NAME, Region
## dbl (1): GEOID
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Getting data from the 2019-2023 5-year ACS
## Warning: • You have not set a Census API key. Users without a key are limited to 500
## queries per day and may experience performance limitations.
## ℹ For best results, get a Census API key at
## http://api.census.gov/data/key_signup.html and then supply the key to the
## `census_api_key()` function to use it throughout your tidycensus session.
## This warning is displayed once per session.
## Joining with `by = join_by(GEOID)`
## Rows: 63970 Columns: 22
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," chr
## (10): fips_code, lead_county, avg_eal_tercile_old, NAME_old, avg_eal_ter... dbl
## (12): archive_version_year, row_count, CBSAFP_old, CBSAFP_new, avg_eal_o...
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## `summarise()` has grouped output by 'CBSAFP_old', 'CBSAFP_new', 'NAME_old',
## 'NAME_new', 'avg_eal_tercile_old'. You can override using the `.groups`
## argument.
## Rows: 121711 Columns: 27
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," chr
## (14): company, parent_number, fips_code, lag_abi, abi, lag_county, avg_e... dbl
## (13): archive_version_year, lead_employees, primary_naics_code, CBSAFP_o...
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## `summarise()` has grouped output by 'CBSAFP_old', 'CBSAFP_new', 'NAME_old',
## 'NAME_new', 'avg_eal_tercile_old'. You can override using the `.groups`
## argument.
same population
level
within region
## `summarise()` has grouped output by 'avg_eal_tercile_old'. You can override
## using the `.groups` argument.
Moves within Region among Same Population Level
| High |
0.5784003 |
0.0166464 |
0.0537556 |
| Low |
0.0165652 |
0.0352416 |
0.0937881 |
| Moderate |
0.0486399 |
0.0786033 |
0.0783597 |
outside region
## `summarise()` has grouped output by 'avg_eal_tercile_old'. You can override
## using the `.groups` argument.
Moves outside Region among Same Population Level
| High |
0.2866362 |
0.0855069 |
0.1804248 |
NA |
| Low |
0.0885991 |
0.0344179 |
0.0591557 |
0.0016133 |
| Moderate |
0.1402259 |
0.0506857 |
0.0599624 |
0.0044367 |
| Outside |
NA |
0.0012100 |
0.0071256 |
NA |
critical
## Rows: 9 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Critical Same Population Moves: Risk level to Risk
level
| High |
0.4626455 |
0.0411587 |
0.0918508 |
| Low |
0.0439087 |
0.0399670 |
0.0880924 |
| Moderate |
0.0735173 |
0.0747090 |
0.0841507 |
non-critical
## Rows: 9 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Non-Critical Same Population Moves: Risk level to Risk
level
| High |
0.4721569 |
0.0495238 |
0.1001681 |
| Low |
0.0476190 |
0.0302521 |
0.0770868 |
| Moderate |
0.0834734 |
0.0676751 |
0.0720448 |
chain
## Rows: 9 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Chain Same Population Moves: Risk level to Risk level
| High |
0.3718961 |
0.0741097 |
0.1376323 |
| Low |
0.0666025 |
0.0381136 |
0.0694899 |
| Moderate |
0.1054860 |
0.0625602 |
0.0741097 |
standalone
## Rows: 9 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Standalone Same Population Moves: Risk level to Risk
level
| High |
0.5006490 |
0.0345652 |
0.0806749 |
| Low |
0.0381174 |
0.0347018 |
0.0879842 |
| Moderate |
0.0682424 |
0.0747319 |
0.0803334 |
small
## Rows: 13 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Small Establishment Same Population Moves: Risk level to Risk
level
| High |
0.4765574 |
0.0373888 |
0.0969360 |
NA |
| Low |
0.0407932 |
0.0362540 |
0.0843338 |
0.0005375 |
| Moderate |
0.0776444 |
0.0699994 |
0.0743594 |
0.0017918 |
| Outside |
NA |
0.0004778 |
0.0029266 |
NA |
large
## Rows: 10 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Large Establishment Same Population Moves: Risk level to Risk
level
| High |
0.3106667 |
0.0973333 |
0.1613333 |
NA |
| Low |
0.0653333 |
0.0400000 |
0.0786667 |
NA |
| Moderate |
0.1213333 |
0.0653333 |
0.0586667 |
0.0013333 |
Any Population
Level
within vs outside
region
## `summarise()` has grouped output by 'avg_eal_tercile_old'. You can override
## using the `.groups` argument.
Risk level to Risk level
| High |
0.1418442 |
0.0145098 |
0.0363402 |
0.0729597 |
| Low |
0.0149617 |
0.0161366 |
0.0323389 |
0.0577516 |
| Moderate |
0.0303752 |
0.0298987 |
0.0341958 |
0.0614735 |
| Outside |
0.0696075 |
0.0633796 |
0.0675453 |
0.2566818 |
## null device
## 1
## `summarise()` has grouped output by 'avg_eal_tercile_old'. You can override
## using the `.groups` argument.
Moves within Region
| High |
0.5021631 |
0.0183028 |
0.0656683 |
| Low |
0.0214088 |
0.0354964 |
0.0905158 |
| Moderate |
0.0593086 |
0.0872989 |
0.1198373 |
## null device
## 1
## `summarise()` has grouped output by 'avg_eal_tercile_old'. You can override
## using the `.groups` argument.
Moves outside Region
| High |
0.0591552 |
0.0204144 |
0.0424992 |
0.1398169 |
| Low |
0.0199004 |
0.0161259 |
0.0238998 |
0.1092194 |
| Moderate |
0.0336171 |
0.0204947 |
0.0147928 |
0.1173948 |
| Outside |
0.1335528 |
0.1191776 |
0.1299390 |
NA |
## null device
## 1
critical vs
non-critical
## Rows: 16 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Critical: Risk level to Risk level
| Low |
0.0160731 |
0.0317129 |
0.0136222 |
0.0600542 |
| Moderate |
0.0289641 |
0.0325660 |
0.0281381 |
0.0618009 |
| High |
0.0120379 |
0.0328097 |
0.1314421 |
0.0702234 |
| Outside |
0.0668382 |
0.0712932 |
0.0700339 |
0.2723900 |
## Rows: 16 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Non-Critical: Risk level to Risk level
| Low |
0.0162345 |
0.0333048 |
0.0170285 |
0.0541986 |
| Moderate |
0.0313408 |
0.0367105 |
0.0338271 |
0.0609682 |
| High |
0.0183239 |
0.0417877 |
0.1578947 |
0.0771818 |
| Outside |
0.0580431 |
0.0617622 |
0.0689497 |
0.2324440 |
chain vs
standalone
## Rows: 16 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Chain: Risk level to Risk level
| Low |
0.0239119 |
0.0384862 |
0.0292970 |
0.0452547 |
| Moderate |
0.0373499 |
0.0460452 |
0.0461934 |
0.0478237 |
| High |
0.0328541 |
0.0570130 |
0.1558223 |
0.0509856 |
| Outside |
0.0636826 |
0.0644731 |
0.0606689 |
0.2001383 |
## null device
## 1
## Rows: 16 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Standalone: Risk level to Risk level
| Low |
0.0145856 |
0.0311126 |
0.0121021 |
0.0602444 |
| Moderate |
0.0284123 |
0.0318321 |
0.0272199 |
0.0641963 |
| High |
0.0108505 |
0.0322164 |
0.1390559 |
0.0773431 |
| Outside |
0.0633192 |
0.0681581 |
0.0713906 |
0.2679610 |
## null device
## 1
large vs small
business size
## Rows: 16 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Large Establishment: Risk level to Risk level
| Low |
0.0291747 |
0.0445298 |
0.0333973 |
0.0349328 |
| Moderate |
0.0464491 |
0.0614203 |
0.0545106 |
0.0502879 |
| High |
0.0495202 |
0.0679463 |
0.1646833 |
0.0548944 |
| Outside |
0.0571977 |
0.0583493 |
0.0637236 |
0.1289827 |
## null device
## 1
## Rows: 16 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): avg_eal_tercile_old, avg_eal_tercile_new
## dbl (1): row_count
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Small Establishment: Risk level to Risk level
| Low |
0.0157013 |
0.0317096 |
0.0133087 |
0.0591576 |
| Moderate |
0.0289197 |
0.0327841 |
0.0283057 |
0.0619837 |
| High |
0.0122252 |
0.0337953 |
0.1375017 |
0.0730893 |
| Outside |
0.0646472 |
0.0687734 |
0.0702000 |
0.2678976 |
## null device
## 1
Births and Entries
Comparison Bar
## Rows: 1000 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): NAME, avg_eal_tercile
## dbl (8): archive_version_year, CBSAFP, entry, exit, births, deaths, avg_eal,...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Headquarter
Matrices
HQ Population Level
by Event Type
##
##
## ### Pop: Low - Branch Opening
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Openings for Low Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 1081 </td>
## <td style="text-align:center;"> 10.5% </td>
## <td style="text-align:center;"> 1492 </td>
## <td style="text-align:center;"> 14.6% </td>
## <td style="text-align:center;"> 3484 </td>
## <td style="text-align:center;"> 34.0% </td>
## <td style="text-align:center;"> 4191 </td>
## <td style="text-align:center;"> 40.9% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 1988 </td>
## <td style="text-align:center;"> 15.5% </td>
## <td style="text-align:center;"> 4614 </td>
## <td style="text-align:center;"> 35.9% </td>
## <td style="text-align:center;"> 1632 </td>
## <td style="text-align:center;"> 12.7% </td>
## <td style="text-align:center;"> 4608 </td>
## <td style="text-align:center;"> 35.9% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 8788 </td>
## <td style="text-align:center;"> 28.4% </td>
## <td style="text-align:center;"> 4666 </td>
## <td style="text-align:center;"> 15.1% </td>
## <td style="text-align:center;"> 2478 </td>
## <td style="text-align:center;"> 8.0% </td>
## <td style="text-align:center;"> 14986 </td>
## <td style="text-align:center;"> 48.5% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 470 </td>
## <td style="text-align:center;"> 25.9% </td>
## <td style="text-align:center;"> 242 </td>
## <td style="text-align:center;"> 13.3% </td>
## <td style="text-align:center;"> 158 </td>
## <td style="text-align:center;"> 8.7% </td>
## <td style="text-align:center;"> 944 </td>
## <td style="text-align:center;"> 52.0% </td>
## </tr>
## </tbody>
## </table>
##
## ### Pop: Low - Branch Closing
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Closings for Low Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 1254 </td>
## <td style="text-align:center;"> 12.2% </td>
## <td style="text-align:center;"> 1716 </td>
## <td style="text-align:center;"> 16.7% </td>
## <td style="text-align:center;"> 2784 </td>
## <td style="text-align:center;"> 27.2% </td>
## <td style="text-align:center;"> 4496 </td>
## <td style="text-align:center;"> 43.9% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 1637 </td>
## <td style="text-align:center;"> 17.1% </td>
## <td style="text-align:center;"> 3045 </td>
## <td style="text-align:center;"> 31.8% </td>
## <td style="text-align:center;"> 1293 </td>
## <td style="text-align:center;"> 13.5% </td>
## <td style="text-align:center;"> 3607 </td>
## <td style="text-align:center;"> 37.6% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 6232 </td>
## <td style="text-align:center;"> 24.0% </td>
## <td style="text-align:center;"> 3727 </td>
## <td style="text-align:center;"> 14.4% </td>
## <td style="text-align:center;"> 2315 </td>
## <td style="text-align:center;"> 8.9% </td>
## <td style="text-align:center;"> 13643 </td>
## <td style="text-align:center;"> 52.6% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 205 </td>
## <td style="text-align:center;"> 18.3% </td>
## <td style="text-align:center;"> 196 </td>
## <td style="text-align:center;"> 17.5% </td>
## <td style="text-align:center;"> 118 </td>
## <td style="text-align:center;"> 10.5% </td>
## <td style="text-align:center;"> 601 </td>
## <td style="text-align:center;"> 53.7% </td>
## </tr>
## </tbody>
## </table>
##
## ### Pop: Low - Branch Expansion
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Expansions for Low Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 56 </td>
## <td style="text-align:center;"> 11.6% </td>
## <td style="text-align:center;"> 63 </td>
## <td style="text-align:center;"> 13.1% </td>
## <td style="text-align:center;"> 137 </td>
## <td style="text-align:center;"> 28.5% </td>
## <td style="text-align:center;"> 225 </td>
## <td style="text-align:center;"> 46.8% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 109 </td>
## <td style="text-align:center;"> 16.5% </td>
## <td style="text-align:center;"> 212 </td>
## <td style="text-align:center;"> 32.0% </td>
## <td style="text-align:center;"> 94 </td>
## <td style="text-align:center;"> 14.2% </td>
## <td style="text-align:center;"> 247 </td>
## <td style="text-align:center;"> 37.3% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 461 </td>
## <td style="text-align:center;"> 26.6% </td>
## <td style="text-align:center;"> 233 </td>
## <td style="text-align:center;"> 13.4% </td>
## <td style="text-align:center;"> 145 </td>
## <td style="text-align:center;"> 8.4% </td>
## <td style="text-align:center;"> 896 </td>
## <td style="text-align:center;"> 51.6% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 12 </td>
## <td style="text-align:center;"> 20.7% </td>
## <td style="text-align:center;"> 9 </td>
## <td style="text-align:center;"> 15.5% </td>
## <td style="text-align:center;"> 7 </td>
## <td style="text-align:center;"> 12.1% </td>
## <td style="text-align:center;"> 30 </td>
## <td style="text-align:center;"> 51.7% </td>
## </tr>
## </tbody>
## </table>
##
## ### Pop: Moderate - Branch Opening
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Openings for Moderate Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 3316 </td>
## <td style="text-align:center;"> 10.4% </td>
## <td style="text-align:center;"> 5584 </td>
## <td style="text-align:center;"> 17.6% </td>
## <td style="text-align:center;"> 7799 </td>
## <td style="text-align:center;"> 24.6% </td>
## <td style="text-align:center;"> 15056 </td>
## <td style="text-align:center;"> 47.4% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 12996 </td>
## <td style="text-align:center;"> 14.7% </td>
## <td style="text-align:center;"> 25605 </td>
## <td style="text-align:center;"> 28.9% </td>
## <td style="text-align:center;"> 14551 </td>
## <td style="text-align:center;"> 16.4% </td>
## <td style="text-align:center;"> 35408 </td>
## <td style="text-align:center;"> 40.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 22639 </td>
## <td style="text-align:center;"> 24.6% </td>
## <td style="text-align:center;"> 14148 </td>
## <td style="text-align:center;"> 15.4% </td>
## <td style="text-align:center;"> 11518 </td>
## <td style="text-align:center;"> 12.5% </td>
## <td style="text-align:center;"> 43667 </td>
## <td style="text-align:center;"> 47.5% </td>
## </tr>
## </tbody>
## </table>
##
## ### Pop: Moderate - Branch Closing
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Closings for Moderate Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 3048 </td>
## <td style="text-align:center;"> 10.5% </td>
## <td style="text-align:center;"> 5245 </td>
## <td style="text-align:center;"> 18.1% </td>
## <td style="text-align:center;"> 6381 </td>
## <td style="text-align:center;"> 22.1% </td>
## <td style="text-align:center;"> 14240 </td>
## <td style="text-align:center;"> 49.2% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 7299 </td>
## <td style="text-align:center;"> 14.0% </td>
## <td style="text-align:center;"> 14403 </td>
## <td style="text-align:center;"> 27.6% </td>
## <td style="text-align:center;"> 6894 </td>
## <td style="text-align:center;"> 13.2% </td>
## <td style="text-align:center;"> 23659 </td>
## <td style="text-align:center;"> 45.3% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 15016 </td>
## <td style="text-align:center;"> 23.7% </td>
## <td style="text-align:center;"> 10491 </td>
## <td style="text-align:center;"> 16.6% </td>
## <td style="text-align:center;"> 8742 </td>
## <td style="text-align:center;"> 13.8% </td>
## <td style="text-align:center;"> 29077 </td>
## <td style="text-align:center;"> 45.9% </td>
## </tr>
## </tbody>
## </table>
##
## ### Pop: Moderate - Branch Expansion
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Expansions for Moderate Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 206 </td>
## <td style="text-align:center;"> 11.1% </td>
## <td style="text-align:center;"> 352 </td>
## <td style="text-align:center;"> 18.9% </td>
## <td style="text-align:center;"> 465 </td>
## <td style="text-align:center;"> 25.0% </td>
## <td style="text-align:center;"> 840 </td>
## <td style="text-align:center;"> 45.1% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 503 </td>
## <td style="text-align:center;"> 12.7% </td>
## <td style="text-align:center;"> 1066 </td>
## <td style="text-align:center;"> 26.9% </td>
## <td style="text-align:center;"> 467 </td>
## <td style="text-align:center;"> 11.8% </td>
## <td style="text-align:center;"> 1925 </td>
## <td style="text-align:center;"> 48.6% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 1060 </td>
## <td style="text-align:center;"> 25.2% </td>
## <td style="text-align:center;"> 687 </td>
## <td style="text-align:center;"> 16.3% </td>
## <td style="text-align:center;"> 517 </td>
## <td style="text-align:center;"> 12.3% </td>
## <td style="text-align:center;"> 1941 </td>
## <td style="text-align:center;"> 46.2% </td>
## </tr>
## </tbody>
## </table>
##
## ### Pop: High - Branch Opening
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Openings for High Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 58051 </td>
## <td style="text-align:center;"> 12.0% </td>
## <td style="text-align:center;"> 84214 </td>
## <td style="text-align:center;"> 17.5% </td>
## <td style="text-align:center;"> 125966 </td>
## <td style="text-align:center;"> 26.1% </td>
## <td style="text-align:center;"> 214324 </td>
## <td style="text-align:center;"> 44.4% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 40548 </td>
## <td style="text-align:center;"> 13.8% </td>
## <td style="text-align:center;"> 90198 </td>
## <td style="text-align:center;"> 30.6% </td>
## <td style="text-align:center;"> 46412 </td>
## <td style="text-align:center;"> 15.7% </td>
## <td style="text-align:center;"> 117590 </td>
## <td style="text-align:center;"> 39.9% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 76410 </td>
## <td style="text-align:center;"> 18.0% </td>
## <td style="text-align:center;"> 79348 </td>
## <td style="text-align:center;"> 18.7% </td>
## <td style="text-align:center;"> 63616 </td>
## <td style="text-align:center;"> 15.0% </td>
## <td style="text-align:center;"> 204278 </td>
## <td style="text-align:center;"> 48.2% </td>
## </tr>
## </tbody>
## </table>
##
## ### Pop: High - Branch Closing
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Closings for High Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 52321 </td>
## <td style="text-align:center;"> 12.7% </td>
## <td style="text-align:center;"> 75371 </td>
## <td style="text-align:center;"> 18.3% </td>
## <td style="text-align:center;"> 101732 </td>
## <td style="text-align:center;"> 24.7% </td>
## <td style="text-align:center;"> 181949 </td>
## <td style="text-align:center;"> 44.2% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 35197 </td>
## <td style="text-align:center;"> 13.9% </td>
## <td style="text-align:center;"> 71104 </td>
## <td style="text-align:center;"> 28.0% </td>
## <td style="text-align:center;"> 40925 </td>
## <td style="text-align:center;"> 16.1% </td>
## <td style="text-align:center;"> 106570 </td>
## <td style="text-align:center;"> 42.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 41292 </td>
## <td style="text-align:center;"> 19.5% </td>
## <td style="text-align:center;"> 38295 </td>
## <td style="text-align:center;"> 18.1% </td>
## <td style="text-align:center;"> 31949 </td>
## <td style="text-align:center;"> 15.1% </td>
## <td style="text-align:center;"> 100453 </td>
## <td style="text-align:center;"> 47.4% </td>
## </tr>
## </tbody>
## </table>
##
## ### Pop: High - Branch Expansion
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch Expansions for High Population CBSA Headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 3051 </td>
## <td style="text-align:center;"> 12.9% </td>
## <td style="text-align:center;"> 4404 </td>
## <td style="text-align:center;"> 18.6% </td>
## <td style="text-align:center;"> 6332 </td>
## <td style="text-align:center;"> 26.7% </td>
## <td style="text-align:center;"> 9910 </td>
## <td style="text-align:center;"> 41.8% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 2243 </td>
## <td style="text-align:center;"> 14.7% </td>
## <td style="text-align:center;"> 4518 </td>
## <td style="text-align:center;"> 29.7% </td>
## <td style="text-align:center;"> 2482 </td>
## <td style="text-align:center;"> 16.3% </td>
## <td style="text-align:center;"> 5989 </td>
## <td style="text-align:center;"> 39.3% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 3636 </td>
## <td style="text-align:center;"> 19.6% </td>
## <td style="text-align:center;"> 3444 </td>
## <td style="text-align:center;"> 18.6% </td>
## <td style="text-align:center;"> 2673 </td>
## <td style="text-align:center;"> 14.4% </td>
## <td style="text-align:center;"> 8785 </td>
## <td style="text-align:center;"> 47.4% </td>
## </tr>
## </tbody>
## </table>
Branch Region Status
by Events Types
##
##
## ### Inside - Branch Opening
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch openings for Inside region CBSA headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 7738 </td>
## <td style="text-align:center;"> 8.6% </td>
## <td style="text-align:center;"> 9101 </td>
## <td style="text-align:center;"> 10.1% </td>
## <td style="text-align:center;"> 73386 </td>
## <td style="text-align:center;"> 81.3% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 10905 </td>
## <td style="text-align:center;"> 13.2% </td>
## <td style="text-align:center;"> 64371 </td>
## <td style="text-align:center;"> 77.7% </td>
## <td style="text-align:center;"> 7535 </td>
## <td style="text-align:center;"> 9.1% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 51699 </td>
## <td style="text-align:center;"> 64.4% </td>
## <td style="text-align:center;"> 15547 </td>
## <td style="text-align:center;"> 19.4% </td>
## <td style="text-align:center;"> 13075 </td>
## <td style="text-align:center;"> 16.3% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 944 </td>
## <td style="text-align:center;"> 100.0% </td>
## </tr>
## </tbody>
## </table>
##
## ### Inside - Branch Closing
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch closings for Inside region CBSA headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 7083 </td>
## <td style="text-align:center;"> 10.0% </td>
## <td style="text-align:center;"> 8139 </td>
## <td style="text-align:center;"> 11.5% </td>
## <td style="text-align:center;"> 55469 </td>
## <td style="text-align:center;"> 78.5% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 9080 </td>
## <td style="text-align:center;"> 15.0% </td>
## <td style="text-align:center;"> 45902 </td>
## <td style="text-align:center;"> 75.7% </td>
## <td style="text-align:center;"> 5689 </td>
## <td style="text-align:center;"> 9.4% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 33170 </td>
## <td style="text-align:center;"> 62.7% </td>
## <td style="text-align:center;"> 10457 </td>
## <td style="text-align:center;"> 19.8% </td>
## <td style="text-align:center;"> 9236 </td>
## <td style="text-align:center;"> 17.5% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 601 </td>
## <td style="text-align:center;"> 100.0% </td>
## </tr>
## </tbody>
## </table>
##
## ### Inside - Branch Expansion
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch expansions for Inside region CBSA headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 385 </td>
## <td style="text-align:center;"> 8.5% </td>
## <td style="text-align:center;"> 489 </td>
## <td style="text-align:center;"> 10.9% </td>
## <td style="text-align:center;"> 3629 </td>
## <td style="text-align:center;"> 80.6% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 552 </td>
## <td style="text-align:center;"> 13.8% </td>
## <td style="text-align:center;"> 3071 </td>
## <td style="text-align:center;"> 76.9% </td>
## <td style="text-align:center;"> 373 </td>
## <td style="text-align:center;"> 9.3% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 2438 </td>
## <td style="text-align:center;"> 64.0% </td>
## <td style="text-align:center;"> 715 </td>
## <td style="text-align:center;"> 18.8% </td>
## <td style="text-align:center;"> 654 </td>
## <td style="text-align:center;"> 17.2% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## <td style="text-align:center;"> 30 </td>
## <td style="text-align:center;"> 100.0% </td>
## </tr>
## </tbody>
## </table>
##
## ### Outside - Branch Opening
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch openings for Outside region CBSA headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 54710 </td>
## <td style="text-align:center;"> 12.6% </td>
## <td style="text-align:center;"> 82189 </td>
## <td style="text-align:center;"> 18.9% </td>
## <td style="text-align:center;"> 63863 </td>
## <td style="text-align:center;"> 14.7% </td>
## <td style="text-align:center;"> 233571 </td>
## <td style="text-align:center;"> 53.8% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 44627 </td>
## <td style="text-align:center;"> 14.2% </td>
## <td style="text-align:center;"> 56046 </td>
## <td style="text-align:center;"> 17.9% </td>
## <td style="text-align:center;"> 55060 </td>
## <td style="text-align:center;"> 17.6% </td>
## <td style="text-align:center;"> 157606 </td>
## <td style="text-align:center;"> 50.3% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 56138 </td>
## <td style="text-align:center;"> 12.0% </td>
## <td style="text-align:center;"> 82615 </td>
## <td style="text-align:center;"> 17.7% </td>
## <td style="text-align:center;"> 64537 </td>
## <td style="text-align:center;"> 13.8% </td>
## <td style="text-align:center;"> 262931 </td>
## <td style="text-align:center;"> 56.4% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 470 </td>
## <td style="text-align:center;"> 54.0% </td>
## <td style="text-align:center;"> 242 </td>
## <td style="text-align:center;"> 27.8% </td>
## <td style="text-align:center;"> 158 </td>
## <td style="text-align:center;"> 18.2% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## </tbody>
## </table>
##
## ### Outside - Branch Closing
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch closings for Outside region CBSA headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 49540 </td>
## <td style="text-align:center;"> 13.0% </td>
## <td style="text-align:center;"> 74193 </td>
## <td style="text-align:center;"> 19.5% </td>
## <td style="text-align:center;"> 55428 </td>
## <td style="text-align:center;"> 14.6% </td>
## <td style="text-align:center;"> 200685 </td>
## <td style="text-align:center;"> 52.8% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 35053 </td>
## <td style="text-align:center;"> 13.7% </td>
## <td style="text-align:center;"> 42650 </td>
## <td style="text-align:center;"> 16.7% </td>
## <td style="text-align:center;"> 43423 </td>
## <td style="text-align:center;"> 17.0% </td>
## <td style="text-align:center;"> 133836 </td>
## <td style="text-align:center;"> 52.5% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 29370 </td>
## <td style="text-align:center;"> 11.8% </td>
## <td style="text-align:center;"> 42056 </td>
## <td style="text-align:center;"> 16.9% </td>
## <td style="text-align:center;"> 33770 </td>
## <td style="text-align:center;"> 13.6% </td>
## <td style="text-align:center;"> 143173 </td>
## <td style="text-align:center;"> 57.6% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 205 </td>
## <td style="text-align:center;"> 39.5% </td>
## <td style="text-align:center;"> 196 </td>
## <td style="text-align:center;"> 37.8% </td>
## <td style="text-align:center;"> 118 </td>
## <td style="text-align:center;"> 22.7% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## </tbody>
## </table>
##
## ### Outside - Branch Expansion
## <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
## <caption>Branch expansions for Outside region CBSA headquarters</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Headquarter Risk Level </th>
## <th style="text-align:center;"> Low Risk </th>
## <th style="text-align:center;"> % Low </th>
## <th style="text-align:center;"> Moderate Risk </th>
## <th style="text-align:center;"> % Moderate </th>
## <th style="text-align:center;"> High Risk </th>
## <th style="text-align:center;"> % High </th>
## <th style="text-align:center;"> Outside </th>
## <th style="text-align:center;"> % Outside </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> High Risk </td>
## <td style="text-align:center;"> 2928 </td>
## <td style="text-align:center;"> 13.6% </td>
## <td style="text-align:center;"> 4330 </td>
## <td style="text-align:center;"> 20.1% </td>
## <td style="text-align:center;"> 3305 </td>
## <td style="text-align:center;"> 15.3% </td>
## <td style="text-align:center;"> 10975 </td>
## <td style="text-align:center;"> 51.0% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Moderate Risk </td>
## <td style="text-align:center;"> 2303 </td>
## <td style="text-align:center;"> 14.5% </td>
## <td style="text-align:center;"> 2725 </td>
## <td style="text-align:center;"> 17.2% </td>
## <td style="text-align:center;"> 2670 </td>
## <td style="text-align:center;"> 16.8% </td>
## <td style="text-align:center;"> 8161 </td>
## <td style="text-align:center;"> 51.5% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Low Risk </td>
## <td style="text-align:center;"> 2719 </td>
## <td style="text-align:center;"> 13.2% </td>
## <td style="text-align:center;"> 3649 </td>
## <td style="text-align:center;"> 17.7% </td>
## <td style="text-align:center;"> 2681 </td>
## <td style="text-align:center;"> 13.0% </td>
## <td style="text-align:center;"> 11622 </td>
## <td style="text-align:center;"> 56.2% </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Outside </td>
## <td style="text-align:center;"> 12 </td>
## <td style="text-align:center;"> 42.9% </td>
## <td style="text-align:center;"> 9 </td>
## <td style="text-align:center;"> 32.1% </td>
## <td style="text-align:center;"> 7 </td>
## <td style="text-align:center;"> 25.0% </td>
## <td style="text-align:center;"> 0 </td>
## <td style="text-align:center;"> 0.0% </td>
## </tr>
## </tbody>
## </table>
Movement Heatmap
## Rows: 33999 Columns: 22
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (10): fips_code, lead_county, NAME_old, NAME_new, avg_eal_tercile_old, a...
## dbl (12): archive_version_year, row_count, CBSAFP_old, CBSAFP_new, avg_eal_o...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## `summarise()` has grouped output by 'avg_eal_tercile_old', 'avg_eal_tercile_new'. You can override using the `.groups` argument.
## Rows: 33999 Columns: 22
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (10): fips_code, lead_county, NAME_old, NAME_new, avg_eal_tercile_old, a...
## dbl (12): archive_version_year, row_count, CBSAFP_old, CBSAFP_new, avg_eal_o...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## `summarise()` has grouped output by 'avg_eal_tercile_old', 'avg_eal_tercile_new'. You can override using the `.groups` argument.
## Warning in to_lodes_form(data = data, axes = axis_ind, discern =
## params$discern): Some strata appear at multiple axes.
## Warning in to_lodes_form(data = data, axes = axis_ind, discern =
## params$discern): Some strata appear at multiple axes.
