Neighborhood Employment

**Overview**
Neighborhood Employment delivers employment data developed from the latest neighborhood statistics available from leading government sources.

Neighborhood Employment is fully refreshed annually. The raw demographic and employment data elements are from government sources with full national coverage. Some sources include the American Community Survey, U.S. Bureau of Labor Statistics and National Agricultural Statistics Service.

Product Attributes:
- Employment industries and occupations
- Commute type (carpool, train, drive alone)
- Commute time
- Income
- Job availability

**Use cases**
- **Market Analysis** - Analyze the job market in a particular area, identify prevalent industries and occupations, and determine income levels. This information can be beneficial for businesses that are considering expansion or for start-ups deciding where to establish their operations.
- **Customer Acquisition** - Understanding the employment landscape of a neighborhood can help businesses target potential customers more effectively. For instance, businesses selling professional attire might target neighborhoods with high concentrations of corporate jobs.
- **Location Data Enrichment** - Employment data can provide valuable context to location intelligence, offering insights into the socioeconomic factors that influence a neighborhood. This can enhance decision-making processes across various business needs.
- **Risk Analysis** - Can be useful in risk assessment, particularly for financial institutions. For example, areas with high unemployment rates might indicate higher risk for loan defaults.
- **Economic Impact Analysis** - Businesses can use neighborhood employment data to assess the potential economic impact of their operations in a certain area. This could be particularly relevant for businesses with significant local economic footprints, such as manufacturing or retail.
- **Demand Forecasting** - Understanding the employment and income levels in a neighborhood can aid in forecasting demand for a company's products or services. For example, a high average income in a neighborhood could signal a potential market for luxury goods or services.

**Product details**
- Datasets represented include Neighborhood Employment.
- Sample fields include Employment Industries and Occupations, Commute Type, Commute Time, Income, Job Availability and Number of Vehicle Household.