Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Culpeper County, VA
Series ID MHICIUBVA51047A052NCEN
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 2:30 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 31901
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37829
1994-01-01 .
1995-01-01 41228
1996-01-01 .
1997-01-01 44385
1998-01-01 47194
1999-01-01 46849
2000-01-01 50111
2001-01-01 49331
2002-01-01 51218
2003-01-01 53452
2004-01-01 56226
2005-01-01 56450
2006-01-01 60844
2007-01-01 64186
2008-01-01 68227
2009-01-01 66537
2010-01-01 61531
2011-01-01 64081
2012-01-01 64482
2013-01-01 67121
2014-01-01 67924
2015-01-01 69605
2016-01-01 72124
2017-01-01 74701
2018-01-01 78303
2019-01-01 84548
2020-01-01 86360
2021-01-01 90713
2022-01-01 100108
2023-01-01 97769

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