About/​Methodology

About

The Greater Washington Partnership is a civic alliance of the region’s leading employers and entrepreneurs committed to making the Capital Region—from Baltimore to Richmond—one of the world’s best places to live, work, and build a business. The Partnership’s top priority is advancing inclusive economic growth by driving solutions and fostering unity.

To better understand the inclusive economic landscape in the region, the Partnership, with support from McKinsey & Company, published an Inclusive Growth Diagnostic. The findings from the Diagnostic have guided the early development of the Inclusive Growth Dashboard and served as a starting point for the development of a Capital Region Inclusive Growth Blueprint. These efforts and more will be spearheaded by the Partnership’s Inclusive Growth Committee of the Board of Directors, and the recently launched Inclusive Growth Strategy Council. The Strategy Council is a broad coalition of business leaders, experts, and advocates from Baltimore to Richmond to catalyze solutions to help close the equity gap and is co-chaired by Sheila Johnson (Founder & CEO of Salamander Hotels & Resorts), and Jason Wright (President of the Washington Football Team).

For questions or comments about the Dashboard or the Partnership’s Inclusive Growth Initiative, please reach out to Francesca Ioffreda, Vice President for Inclusive Growth.

Methodology

The Dashboard pulls from publicly available sources of data and will be updated on an annual basis. Current data sources include:

  • Bureau of Labor Statistics
  • Federal Reserve Economic Data
  • Department of Housing and Urban Development
  • Federal Financial Institutions Examination Council
  • PricewaterhouseCoopers (PWC)
  • United States Census Data

Terms and Calculations across Metrics

Black Includes individuals who self-identify as “Black or African American alone”, regardless of ethnic identification (e.g., may include some who identify as Hispanic)
Black-white gap Number or percentage of the white (population/households/workers/units) minus black (population/households/workers/units) 
Black-white gap (parity or quantity) Difference in percentage of white population/households/workers/units minus black population/households/workers/units multiplied against the black population to calculate additional population/households/workers/units to achieve parity
Capital Region Sum of population/households/workers/units in Washington MSA, Baltimore MSA, and Richmond MSA. Sometimes a calculation of percentage from those sums)
Hispanic Includes individuals who self-identify as Hispanic regardless of racial identity (e.g., may include those who racially identify as white, black, or any other racial category)
Other Category of race that includes American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race, and Two or more races
White Includes individuals who self-identify as “white alone”, and not including any who identify as Hispanic

Assumptions and Additional Calculations

Metric Unit of measure  Assumptions and additional calculations
GDP millions of dollars
GDP per capital dollars per person GDP divided by population of each given year
Median household income dollars per household
Economic mobility percentage of population From October diagnostic
Poverty rate percentage of population for whom poverty status is determined Poverty threshold is defined by the Census for a given year and dependent on household size (link: https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html). Calculation of percentage includes those determined to be below the threshold divided by the population for whom poverty status is determined
Job growth employees in thousands Calculated from mapping December values for each year
Venture capital millions of dollars Amount invested. Assumes the Washington Metroplex and Capital Region MSA to be defined very similarly.
Small business ownership percentage of firms Added employment size of firm categories to find firms with less than 100 employees (Firms with no employees, firms with 1 to 4 employees, firms with 5 to 9 employees, firms with 10 to 19 employees, firms with 20 to 49 employees and firms with 50 to 99 employees) and divided by total firms
High-tech contribution to GDP percentage divided high-tech GDP by total GDP for percent attributable to high-tech
Average commute minutes
Public transit use percentage of households Divided households using public transportation by total households per
Broadband use percentage of households Divided households using broadband internet by total households per group
Asset poverty rate percentage of population
Homeownership percent of owner-occupied housing units Divided owner-occupied housing units by total households per group
Home value Mean value in dollars and housing units in thousands
Rent burden percentage of households Added households where total housing costs as a Percentage of Household income was 30% or greater and divided that by total number of households
New business formation Establishments
Loans to small businesses Amount in thousands
Small business employment Employees
Insured Percentage of civilian noninstitutionalized population
High school graduation rates percentage of population Calculated graduation rate by dividing bachelors graduates by the population of each group
Bachelor graduation rates percentage of population Calculated graduation rate by dividing high school graduates by the population of each group
Employment in high-tech employees Employees in high-tech by location of their workplace. Calculated % in digital tech by dividing employees in digital tech by the total in all occupations
Labor force participation percentage of population 16 years and over
Unemployment rate percentage of population 16 years and over participating in the workforce
Percent of unbanked residents Percent unbanked households
Racially/ethnically concentrated areas of poverty (R/ECAPs) Demographics percentage of population in R/ECAPs 

Counties/Cities by MSA

Baltimore MSA DC MSA Richmond MSA
  • Anne Arundel
  • Baltimore County
  • Carroll
  • Harford
  • Howard
  • Queen Anne’s
  • Alexandria
  • Arlington
  • District of Columbia
  • Calvert
  • Charles
  • Clarke
  • Culpeper
  • Fairfax
  • Falls Church
  • Fauquier
  • Frederick
  • Fredericksburg City
  • Jefferson
  • Loudon
  • Manassas
  • Montgomery
  • Prince George’s
  • Prince William
  • Rappahannock
  • Spotsylvania
  • Stafford
  • Warren
  • Amelia
  • Caroline
  • Charles City
  • Chesterfield
  • Colonial Heights City
  • Dinwiddie
  • Goochland
  • Hanover
  • Henrico
  • Hopewell City
  • King William
  • New Kent
  • Petersburg City
  • Prince George
  • Powhatan
  • Richmond City
  • Sussex