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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sherman County, KS
Series ID MHICILBKS20181A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 PM 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 19980
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24540
1994-01-01 .
1995-01-01 25406
1996-01-01 .
1997-01-01 27804
1998-01-01 29134
1999-01-01 30616
2000-01-01 31591
2001-01-01 30114
2002-01-01 28461
2003-01-01 28472
2004-01-01 28293
2005-01-01 29278
2006-01-01 30364
2007-01-01 32282
2008-01-01 36103
2009-01-01 34593
2010-01-01 34296
2011-01-01 35661
2012-01-01 35296
2013-01-01 35645
2014-01-01 38770
2015-01-01 38315
2016-01-01 44722
2017-01-01 41406
2018-01-01 41065
2019-01-01 48572
2020-01-01 44974
2021-01-01 48275
2022-01-01 50151

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