Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Preston County, WV
Series ID MHICIUBWV54077A052NCEN
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 1:51 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 23514
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25465
1994-01-01 .
1995-01-01 28020
1996-01-01 .
1997-01-01 29271
1998-01-01 30515
1999-01-01 29674
2000-01-01 31510
2001-01-01 30894
2002-01-01 32117
2003-01-01 33251
2004-01-01 34481
2005-01-01 34169
2006-01-01 36983
2007-01-01 38630
2008-01-01 43155
2009-01-01 40724
2010-01-01 45130
2011-01-01 43776
2012-01-01 43639
2013-01-01 45201
2014-01-01 44709
2015-01-01 47758
2016-01-01 48148
2017-01-01 49125
2018-01-01 51247
2019-01-01 55952
2020-01-01 56322
2021-01-01 61339
2022-01-01 59786

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