Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cowley County, KS
Series ID MHICIUBKS20035A052NCEN
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 28480
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31559
1994-01-01 .
1995-01-01 33875
1996-01-01 .
1997-01-01 37066
1998-01-01 38717
1999-01-01 36782
2000-01-01 38596
2001-01-01 37698
2002-01-01 38003
2003-01-01 38353
2004-01-01 39387
2005-01-01 40171
2006-01-01 42377
2007-01-01 41096
2008-01-01 48858
2009-01-01 40559
2010-01-01 41942
2011-01-01 42570
2012-01-01 39333
2013-01-01 45235
2014-01-01 48877
2015-01-01 51245
2016-01-01 50196
2017-01-01 50201
2018-01-01 52614
2019-01-01 55861
2020-01-01 54785
2021-01-01 56802
2022-01-01 62235
2023-01-01 64094

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