Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Woodson County, KS
Series ID MHICIUBKS20207A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 21555
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25111
1994-01-01 .
1995-01-01 25852
1996-01-01 .
1997-01-01 29590
1998-01-01 29144
1999-01-01 27349
2000-01-01 28427
2001-01-01 27905
2002-01-01 27473
2003-01-01 28256
2004-01-01 29915
2005-01-01 31076
2006-01-01 31595
2007-01-01 33167
2008-01-01 36290
2009-01-01 26989
2010-01-01 36266
2011-01-01 36270
2012-01-01 35885
2013-01-01 43562
2014-01-01 39139
2015-01-01 41283
2016-01-01 39071
2017-01-01 42957
2018-01-01 47555
2019-01-01 48003
2020-01-01 51968
2021-01-01 46164
2022-01-01 55647
2023-01-01 43972

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