Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, WV
Series ID MHICILBWV54035A052NCEN
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 20186
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24247
1994-01-01 .
1995-01-01 26072
1996-01-01 .
1997-01-01 27622
1998-01-01 28831
1999-01-01 30172
2000-01-01 31243
2001-01-01 30628
2002-01-01 31294
2003-01-01 32222
2004-01-01 33253
2005-01-01 33079
2006-01-01 36308
2007-01-01 37936
2008-01-01 36597
2009-01-01 35478
2010-01-01 35106
2011-01-01 37603
2012-01-01 35722
2013-01-01 35479
2014-01-01 36854
2015-01-01 40308
2016-01-01 39778
2017-01-01 40485
2018-01-01 44418
2019-01-01 44621
2020-01-01 44559
2021-01-01 54633
2022-01-01 48433

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