Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, KS
Series ID MHICIUBKS20105A052NCEN
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 21187
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25464
1994-01-01 .
1995-01-01 27969
1996-01-01 .
1997-01-01 31713
1998-01-01 33351
1999-01-01 32968
2000-01-01 34661
2001-01-01 33948
2002-01-01 33246
2003-01-01 33247
2004-01-01 33286
2005-01-01 35295
2006-01-01 36449
2007-01-01 39877
2008-01-01 44636
2009-01-01 40331
2010-01-01 43158
2011-01-01 43193
2012-01-01 46782
2013-01-01 46290
2014-01-01 49413
2015-01-01 46379
2016-01-01 45890
2017-01-01 48452
2018-01-01 48609
2019-01-01 52781
2020-01-01 57727
2021-01-01 59545
2022-01-01 64636
2023-01-01 60033

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