How County Leaders Use Census Data for Budget Decisions

Most counties make budget decisions with one major data gap: a reliable, annually updated picture of what’s actually happening in the local economy. The Census Bureau’s County Business Patterns program fills that gap, and many county budget officers haven’t yet built it into their standard process. This guide walks county leaders through the specific ways CBP data supports stronger budget decisions, from revenue forecasting to mid-year adjustments.

 

What Is County Business Patterns Data?

County Business Patterns (CBP) is an annual series from the U.S. Census Bureau that provides detailed economic data at the county level. It covers four core metrics for every county in the country:

  • Number of establishments: how many businesses are operating in each industry
  • Employment: number of workers employed during the week of March 12 each year
  • First-quarter payroll: total wages paid January through March
  • Annual payroll: total wages paid across the full year

 

The data is organized by North American Industry Classification System (NAICS) codes, which means county leaders can look not just at the total economy but at specific sectors such as healthcare, manufacturing, retail, and construction with the same level of detail. CBP data is free, updated annually, and accessible through data.census.gov. It requires no specialized software to use.

 

How to Use Census Data for County Budget Planning

Here’s a five-step workflow county budget officers can build into their annual process.

 

Step 1: Pull baseline county data. Access data.census.gov and filter for your county. Download the CBP table covering all NAICS sectors. This becomes your economic baseline. Record total establishments, total employment, and total annual payroll for the most recent reference year.

 

Step 2: Identify your top sectors. Sort by employment count to find the three to five industries that drive the most jobs in your county. These are the sectors most likely to influence your county’s tax base. For many counties, healthcare (NAICS 62), retail trade (NAICS 44-45), and accommodation/food service (NAICS 72) rank near the top.

 

Step 3: Track year-over-year changes. Compare the current year’s establishment counts and employment figures against the prior year. A sector losing establishments is a sector that may generate less payroll in the next budget cycle. A sector adding employers signals potential growth in taxable payroll and local spending.

 

Step 4: Map payroll data to revenue projections. Annual payroll figures from CBP serve as a leading indicator for income and sales tax revenue. Counties that collect or receive a share of income-based revenues can use payroll trends to project whether their tax base is expanding or contracting before final tax receipts come in. If a county’s manufacturing sector saw payroll fall 8% in the CBP data, budget officers should factor that into revenue modeling for the following year.

 

Step 5: Update projections mid-year with first-quarter payroll. CBP releases first-quarter payroll alongside annual data. For counties monitoring fast-moving sectors, first-quarter figures can signal whether a trend that appeared in the annual data is accelerating or correcting. Budget teams can use this for mid-year adjustments without waiting for full fiscal year results.

 

Reading the Signals: What Payroll Trends Tell Budget Officers

Payroll is arguably the most useful single metric in CBP for county budget work. When private-sector payroll grows in a county, taxable economic activity typically grows with it. Workers earning more spend more locally. Businesses generating more payroll pay more in employer-side taxes and fees. Counties that capture any share of income or sales tax revenue benefit directly.

 

When payroll declines, the opposite dynamic plays out. A sustained payroll decline in a major sector usually precedes a softening in county revenues. Budget officers who catch this early by using CBP data from the prior year have more time to adjust spending plans before revenues actually drop.

 

Consider a practical example. A county with a significant manufacturing presence (NAICS 31-33) sees establishment counts fall from 42 to 38 over two years in CBP data. Annual payroll in that sector falls correspondingly. A budget officer watching these numbers has an early indicator that the county’s industrial tax base is contracting. They can adjust revenue projections before the shortfall appears in actual receipts.

 

Using CBP Data for Grant Applications

CBP data is accepted by federal agencies as an authoritative data source for grant applications and economic development proposals. For county leaders pursuing federal funding, referencing CBP figures adds credibility and precision to project narratives. Useful data points for grant applications include:

  • Current employment count by sector (to document workforce need)
  • Year-over-year establishment growth or decline (to document economic trends)
  • Payroll per employee by industry (to document wage levels relative to state or national benchmarks)
  • Total annual payroll (to document the size of the county’s economic base)

 

When a site selector calls your county’s economic development office asking about local workforce size, a data-backed answer drawn from CBP carries more weight than an estimate. The same applies when a state agency or federal partner asks how your county’s economy has changed over time.

 

One Important Limitation: Data Suppression

In counties where a specific industry has very few employers, the Census Bureau may suppress exact employment figures to protect business confidentiality. When suppression occurs, CBP replaces exact counts with employment size ranges. The Census Bureau’s CBP FAQ explains the suppression methodology in detail.

 

Even suppressed data has value. The presence of an industry in a size range tells budget officers the sector exists and is active. Directional trends, whether growing or shrinking over time, remain informative. Counties dealing with significant suppression can supplement CBP data with Bureau of Labor Statistics Quarterly Census of Employment and Wages (QCEW) data, which provides more granular reporting for small geographies.

 

Building a Standing CBP Analysis Into Your Budget Process

The most effective approach is to make CBP analysis a recurring part of the budget calendar, not a one-time exercise. A spreadsheet that logs the four core CBP metrics every year becomes a management tool that the county executive’s office can update with each new data release. Over time, this file serves as the statistical backbone for budget presentations and legislative testimony. Counties that build this into standard operations gain something most budget processes lack: a consistent, comparable, annually updated record of how the local economy is performing.

 

FAQ: Census Data and County Budget Planning

How often is County Business Patterns data updated? 

CBP releases new data annually, typically about 18 months after the reference year. The 2023 data, for example, became available in 2025. Budget officers working in 2026 are using 2023 CBP data as their most recent benchmark.

 

Is CBP data free to use? 

Yes. All CBP data is publicly available at no cost through data.census.gov. No software license or subscription is required.

 

What if my county is rural and my data is suppressed? 

Suppressed data still provides directional information through employment size ranges. Supplement with BLS QCEW data, which offers more granular reporting for small geographies, and consider aggregating multiple NAICS sectors to get a clearer picture of your county’s overall economic activity.

 

How does CBP data differ from ACS (American Community Survey) data? 

CBP covers businesses and economic activity (establishments, employment, payroll). ACS covers people and households (population, income, education, commuting patterns). Both are valuable for county planning, but they answer different questions. CBP is specific to the private-sector business environment; ACS captures the residential workforce.