Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Labette County, KS
Series ID MHICILBKS20099A052NCEN
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 3:13 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 20604
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23256
1994-01-01 .
1995-01-01 23456
1996-01-01 .
1997-01-01 26255
1998-01-01 27507
1999-01-01 28575
2000-01-01 29573
2001-01-01 28819
2002-01-01 29183
2003-01-01 29689
2004-01-01 30567
2005-01-01 31072
2006-01-01 32215
2007-01-01 33522
2008-01-01 33953
2009-01-01 34235
2010-01-01 37697
2011-01-01 34641
2012-01-01 33377
2013-01-01 35237
2014-01-01 37782
2015-01-01 38663
2016-01-01 37372
2017-01-01 43258
2018-01-01 40712
2019-01-01 39461
2020-01-01 44746
2021-01-01 44050
2022-01-01 46995
2023-01-01 45195

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