Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pratt County, KS
Series ID MHICIUBKS20151A052NCEN
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 1:53 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 27383
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32044
1994-01-01 .
1995-01-01 34386
1996-01-01 .
1997-01-01 37950
1998-01-01 39227
1999-01-01 37923
2000-01-01 39781
2001-01-01 38681
2002-01-01 38420
2003-01-01 39281
2004-01-01 40396
2005-01-01 42949
2006-01-01 44966
2007-01-01 46802
2008-01-01 48757
2009-01-01 48885
2010-01-01 47972
2011-01-01 48761
2012-01-01 51688
2013-01-01 55925
2014-01-01 59516
2015-01-01 57896
2016-01-01 56418
2017-01-01 60202
2018-01-01 58154
2019-01-01 59193
2020-01-01 70180
2021-01-01 65377
2022-01-01 72577

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