Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nicholas County, WV
Series ID MHICILBWV54067A052NCEN
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 17331
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19163
1994-01-01 .
1995-01-01 21898
1996-01-01 .
1997-01-01 22878
1998-01-01 22751
1999-01-01 24949
2000-01-01 26065
2001-01-01 25361
2002-01-01 25582
2003-01-01 26243
2004-01-01 27562
2005-01-01 28020
2006-01-01 28684
2007-01-01 36621
2008-01-01 30011
2009-01-01 33021
2010-01-01 32770
2011-01-01 33219
2012-01-01 35544
2013-01-01 35508
2014-01-01 32856
2015-01-01 35513
2016-01-01 34358
2017-01-01 33471
2018-01-01 34738
2019-01-01 37052
2020-01-01 36994
2021-01-01 43255
2022-01-01 41169

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