Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bath County, VA
Series ID MHICILBVA51017A052NCEN
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 19220
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24196
1994-01-01 .
1995-01-01 26228
1996-01-01 .
1997-01-01 29678
1998-01-01 30857
1999-01-01 32428
2000-01-01 33644
2001-01-01 33174
2002-01-01 33427
2003-01-01 34302
2004-01-01 35829
2005-01-01 35906
2006-01-01 36459
2007-01-01 38149
2008-01-01 38304
2009-01-01 38332
2010-01-01 37408
2011-01-01 38217
2012-01-01 42053
2013-01-01 38642
2014-01-01 39280
2015-01-01 40223
2016-01-01 42025
2017-01-01 43482
2018-01-01 44947
2019-01-01 48413
2020-01-01 47364
2021-01-01 49189
2022-01-01 52123
2023-01-01 52482

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