Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mineral County, WV
Series ID MHICILBWV54057A052NCEN
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 1:11 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 21680
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23746
1994-01-01 .
1995-01-01 24788
1996-01-01 .
1997-01-01 26725
1998-01-01 27740
1999-01-01 29185
2000-01-01 30022
2001-01-01 29586
2002-01-01 30182
2003-01-01 31920
2004-01-01 33417
2005-01-01 32417
2006-01-01 34941
2007-01-01 33259
2008-01-01 39072
2009-01-01 34636
2010-01-01 35265
2011-01-01 34366
2012-01-01 34864
2013-01-01 34631
2014-01-01 36136
2015-01-01 39434
2016-01-01 42933
2017-01-01 40321
2018-01-01 44471
2019-01-01 44285
2020-01-01 43410
2021-01-01 48749
2022-01-01 54389

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