Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Putnam County, WV
Series ID MHICILBWV54079A052NCEN
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 27635
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32238
1994-01-01 .
1995-01-01 36607
1996-01-01 .
1997-01-01 37562
1998-01-01 39947
1999-01-01 39496
2000-01-01 40455
2001-01-01 40291
2002-01-01 41025
2003-01-01 42269
2004-01-01 44360
2005-01-01 43613
2006-01-01 44684
2007-01-01 45610
2008-01-01 53121
2009-01-01 48120
2010-01-01 49294
2011-01-01 49171
2012-01-01 51383
2013-01-01 51764
2014-01-01 54639
2015-01-01 54298
2016-01-01 51354
2017-01-01 54842
2018-01-01 55932
2019-01-01 61289
2020-01-01 60834
2021-01-01 59929
2022-01-01 74326

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