Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stafford County, VA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stafford County, VA
Series ID MHICILBVA51179A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 3:12 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 41677
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47990
1994-01-01 .
1995-01-01 52279
1996-01-01 .
1997-01-01 54583
1998-01-01 59295
1999-01-01 61134
2000-01-01 63843
2001-01-01 65180
2002-01-01 67858
2003-01-01 70764
2004-01-01 73498
2005-01-01 75003
2006-01-01 79184
2007-01-01 82076
2008-01-01 81254
2009-01-01 84028
2010-01-01 89610
2011-01-01 85793
2012-01-01 91818
2013-01-01 88655
2014-01-01 87069
2015-01-01 91169
2016-01-01 90444
2017-01-01 106944
2018-01-01 103209
2019-01-01 101440
2020-01-01 104501
2021-01-01 111032
2022-01-01 128036
2023-01-01 122792

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