Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Edwards County, KS
Series ID MHICILBKS20047A052NCEN
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 21138
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25121
1994-01-01 .
1995-01-01 24585
1996-01-01 .
1997-01-01 27989
1998-01-01 30075
1999-01-01 29474
2000-01-01 29906
2001-01-01 29590
2002-01-01 28107
2003-01-01 29120
2004-01-01 29842
2005-01-01 30015
2006-01-01 31309
2007-01-01 33391
2008-01-01 35592
2009-01-01 36646
2010-01-01 37854
2011-01-01 39817
2012-01-01 39960
2013-01-01 42019
2014-01-01 45554
2015-01-01 41945
2016-01-01 42304
2017-01-01 43174
2018-01-01 42145
2019-01-01 43477
2020-01-01 44098
2021-01-01 36327
2022-01-01 49917

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