Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Culpeper County, VA
Series ID MHICILBVA51047A052NCEN
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 2:32 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 27393
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33272
1994-01-01 .
1995-01-01 35140
1996-01-01 .
1997-01-01 38247
1998-01-01 41139
1999-01-01 41249
2000-01-01 43234
2001-01-01 42962
2002-01-01 44617
2003-01-01 47075
2004-01-01 49408
2005-01-01 49329
2006-01-01 52170
2007-01-01 56496
2008-01-01 58269
2009-01-01 55898
2010-01-01 52263
2011-01-01 53111
2012-01-01 54736
2013-01-01 60631
2014-01-01 56864
2015-01-01 57851
2016-01-01 61922
2017-01-01 63935
2018-01-01 65919
2019-01-01 74930
2020-01-01 73942
2021-01-01 73727
2022-01-01 88466
2023-01-01 83161

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