Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, WV
Series ID MHICILBWV54043A052NCEN
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 3:13 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 14598
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15906
1994-01-01 .
1995-01-01 18245
1996-01-01 .
1997-01-01 19638
1998-01-01 21187
1999-01-01 21975
2000-01-01 22163
2001-01-01 22030
2002-01-01 23093
2003-01-01 24472
2004-01-01 25362
2005-01-01 24754
2006-01-01 25454
2007-01-01 27730
2008-01-01 26890
2009-01-01 28115
2010-01-01 30992
2011-01-01 29748
2012-01-01 31019
2013-01-01 32297
2014-01-01 30842
2015-01-01 31676
2016-01-01 29530
2017-01-01 32198
2018-01-01 36195
2019-01-01 39511
2020-01-01 34557
2021-01-01 37364
2022-01-01 38267
2023-01-01 42218

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