Innovation Sector Job Share

Highest Innovation Share Micropolitan Counties

highest_inno_share_micropolitans <- moodys_employ_share_2020 %>%
  dplyr::filter(metropolitan_designation == "Micro") %>%
  dplyr::arrange(desc(employment_co_share)) %>%
  head(10)

knitr::kable(highest_inno_share_micropolitans)

geoid_co	employment_co	employment_co_share	metropolitan_designation	rural_cbsa_flag
35028	3.9881	0.0010123	Micro	1
26005	2.5217	0.0006401	Micro	1
33009	1.9553	0.0004963	Micro	1
31141	1.9250	0.0004886	Micro	1
37195	1.8731	0.0004754	Micro	1
27169	1.7226	0.0004372	Micro	1
53025	1.6332	0.0004145	Micro	1
37105	1.5234	0.0003867	Micro	1
48057	1.4763	0.0003747	Micro	1
09005	1.3677	0.0003472	Micro	1

Highest Innovation Employment Micropolitan Counties

highest_inno_employment_micropolitans <- moodys_employ_share_2020 %>%
  dplyr::filter(metropolitan_designation == "Micro") %>%
  dplyr::arrange(desc(employment_co)) %>%
  head(10)

knitr::kable(highest_inno_employment_micropolitans)

geoid_co	employment_co	employment_co_share	metropolitan_designation	rural_cbsa_flag
35028	3.9881	0.0010123	Micro	1
26005	2.5217	0.0006401	Micro	1
33009	1.9553	0.0004963	Micro	1
31141	1.9250	0.0004886	Micro	1
37195	1.8731	0.0004754	Micro	1
27169	1.7226	0.0004372	Micro	1
53025	1.6332	0.0004145	Micro	1
37105	1.5234	0.0003867	Micro	1
48057	1.4763	0.0003747	Micro	1
09005	1.3677	0.0003472	Micro	1

1. Los Alamos, NM
2. Allegan, MI
3. Grafton, NH
4. Platte, NE
5. Wilson, NC
6. Winona, MN
7. Grant, WA
8. Lee, NC
9. Calhoun, TX
10. Litchfield, CT