Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Greeley County, KS
Series ID MHICIUBKS20071A052NCEN
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 1:10 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 31083
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35937
1994-01-01 .
1995-01-01 34505
1996-01-01 .
1997-01-01 37891
1998-01-01 41539
1999-01-01 39252
2000-01-01 40250
2001-01-01 39308
2002-01-01 36458
2003-01-01 37590
2004-01-01 36663
2005-01-01 39707
2006-01-01 40406
2007-01-01 44025
2008-01-01 49425
2009-01-01 52624
2010-01-01 52275
2011-01-01 53604
2012-01-01 54865
2013-01-01 55678
2014-01-01 58238
2015-01-01 48208
2016-01-01 52737
2017-01-01 53776
2018-01-01 57279
2019-01-01 64864
2020-01-01 76011
2021-01-01 72790
2022-01-01 79153

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