Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Labette County, KS
Series ID MHICIUBKS20099A052NCEN
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 25115
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27846
1994-01-01 .
1995-01-01 29692
1996-01-01 .
1997-01-01 32466
1998-01-01 33660
1999-01-01 32567
2000-01-01 34339
2001-01-01 33061
2002-01-01 33530
2003-01-01 33744
2004-01-01 34729
2005-01-01 35812
2006-01-01 37270
2007-01-01 39616
2008-01-01 41049
2009-01-01 41071
2010-01-01 41669
2011-01-01 41117
2012-01-01 40053
2013-01-01 41847
2014-01-01 43862
2015-01-01 45983
2016-01-01 44834
2017-01-01 50380
2018-01-01 48430
2019-01-01 48879
2020-01-01 55698
2021-01-01 54320
2022-01-01 57641
2023-01-01 54553

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