Timely data to help you identify growing areas
For a geographic area, our Emerging Areas dataset examines the inflow and outflow of people along with their income indicators, and classifies the area’s growth and change in composition. We identify the features / characteristics of an “emerging area” and then rank the areas that are over-indexed for those characteristics.
This feature service includes the full set of attributes listed below, providing insights at the tract-level for all 384 MSAs within the US, and aggregated on a monthly level for the most recent 12 months. This data is updated on a monthly basis with a six-week lag in order to accurately capture moves.
Please note that the data in this feature service is not exportable. If you would like this dataset available as a downloadable table, for a different time period, or geography, please get in touch with us here.What can Emerging Areas do for you?
You gain an exclusive view into the arrival and departure of people in a specified geographical area. Emerging Areas also calculates the potential impact to an area's income levels, and helps identify patterns more rapidly than traditional datasets.Who benefits from the Emerging Areas dataset?
Regardless of whether you’re a residential or commercial real estate investor, agent, underwriter, analyst, developer, construction company, leasing manager, or mortgage lender, you need actionable data to facilitate smarter, informed decisions that keep you a step ahead of the competition.
- observation_start_date - Observation Start Date
- observation_end_date - Observation End Date
- area_id - Tract ID
- county_name - County
- state_name - State
- cbsa_id - MSA ID
- cbsa_name - MSA
- cbsa_type - MSA Type
- inflow - Population Inflow
- outflow - Population Outflow
- total_net_flow - Population Total Net Flow
- weekly_net_flow - Population Weekly Net Flow
- income_inflow - Income Inflow
- income_outflow - Income Outflow
- income_diff - Income Difference
- long_term_classification - Long-Term Classification
- short_term_normalised_classification - Short-Term Classification
- total_population - Total Population
- university_flag - University Flag (Indicates if there is a university with >1500 full-time enrolled students within 500 meters of the area - these are areas that may see more volatile trends due to student movements)
- zone_type - Zone Type (Indicates if this area is a designated Opportunity Zone)
Short-term: The absolute difference in net flow (extrapolated to a full year) between the three most recent months and the same three months the previous year leads to a population growth of >5% (tract-level) or >2% (county-level).
Long-term: The average population growth rate over the last 12 months is >5% (tract-level) or >2% (county-level).
Short-term: The average income of population inflows in the most recent three months is >20% (tract-level) or >10% (county-level) higher than the same period from the previous year, and this difference is established to be statistically significant.
Long-term: The average income of population inflows over the last 12 months is >20% (tract-level) or >10% (county-level) higher than the median income of the area itself, and this difference is established to be statistically significant.
Growing Population & Income
An area meets criteria for both Growing Population and Growing Income.
Short-term: The absolute difference in net flow (extrapolated to a full year) between the three most recent months and the same three months the previous year leads to a population growth of <-5% (tract-level) or <-2% (county-level).
Long-term: The average population growth rate over the last 12 months is <-5% (tract-level) or <-2% (county-level).
An area that does not meet any of the other criteria.
- Market and Customer Analysis
- Risk Management
- Real Estate
- Health and Human Services
- ArcGIS Apps
- ArcGIS Enterprise
- ArcGIS Online
- ArcGIS Pro
Emerging Areas v3 (2021-01-29)
January 29th, 2021