Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, KS
Series ID MHICILBKS20105A052NCEN
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 2:33 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 16620
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19778
1994-01-01 .
1995-01-01 21793
1996-01-01 .
1997-01-01 25396
1998-01-01 27107
1999-01-01 28859
2000-01-01 29726
2001-01-01 29473
2002-01-01 28753
2003-01-01 29108
2004-01-01 29076
2005-01-01 29348
2006-01-01 30702
2007-01-01 33103
2008-01-01 36950
2009-01-01 33397
2010-01-01 35726
2011-01-01 35441
2012-01-01 38912
2013-01-01 38752
2014-01-01 40379
2015-01-01 38175
2016-01-01 38294
2017-01-01 39278
2018-01-01 40269
2019-01-01 42333
2020-01-01 42735
2021-01-01 46853
2022-01-01 51462
2023-01-01 47301

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