Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hardy County, WV
Series ID MHICILBWV54031A052NCEN
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 18199
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22170
1994-01-01 .
1995-01-01 24462
1996-01-01 .
1997-01-01 26265
1998-01-01 27932
1999-01-01 29670
2000-01-01 30561
2001-01-01 30231
2002-01-01 30456
2003-01-01 31791
2004-01-01 33201
2005-01-01 32199
2006-01-01 35455
2007-01-01 33817
2008-01-01 32518
2009-01-01 32897
2010-01-01 33542
2011-01-01 34525
2012-01-01 34547
2013-01-01 32587
2014-01-01 37490
2015-01-01 37365
2016-01-01 36703
2017-01-01 40170
2018-01-01 40612
2019-01-01 41296
2020-01-01 40350
2021-01-01 45422
2022-01-01 47440

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