Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sumner County, KS
Series ID MHICILBKS20191A052NCEN
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 1:12 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 25781
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29302
1994-01-01 .
1995-01-01 30646
1996-01-01 .
1997-01-01 35887
1998-01-01 38067
1999-01-01 37427
2000-01-01 37862
2001-01-01 37226
2002-01-01 36943
2003-01-01 37132
2004-01-01 38344
2005-01-01 39243
2006-01-01 44339
2007-01-01 43474
2008-01-01 42935
2009-01-01 42835
2010-01-01 43901
2011-01-01 43181
2012-01-01 46564
2013-01-01 46118
2014-01-01 47869
2015-01-01 46838
2016-01-01 47001
2017-01-01 47638
2018-01-01 52979
2019-01-01 48302
2020-01-01 50432
2021-01-01 52491
2022-01-01 56904

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