Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, WV
Series ID MHICILBWV54029A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 PM 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 23478
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26741
1994-01-01 .
1995-01-01 27054
1996-01-01 .
1997-01-01 29016
1998-01-01 30444
1999-01-01 31197
2000-01-01 32541
2001-01-01 31694
2002-01-01 32458
2003-01-01 33960
2004-01-01 34972
2005-01-01 35126
2006-01-01 35438
2007-01-01 35849
2008-01-01 35820
2009-01-01 36684
2010-01-01 35275
2011-01-01 35846
2012-01-01 34323
2013-01-01 37067
2014-01-01 45965
2015-01-01 38169
2016-01-01 41054
2017-01-01 40337
2018-01-01 43254
2019-01-01 45947
2020-01-01 44926
2021-01-01 46478
2022-01-01 52731

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