Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bourbon County, KS
Series ID MHICIUBKS20011A052NCEN
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 23348
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26247
1994-01-01 .
1995-01-01 28311
1996-01-01 .
1997-01-01 31438
1998-01-01 32739
1999-01-01 32465
2000-01-01 34415
2001-01-01 33462
2002-01-01 33686
2003-01-01 34515
2004-01-01 34724
2005-01-01 36401
2006-01-01 36838
2007-01-01 40436
2008-01-01 41191
2009-01-01 39361
2010-01-01 40327
2011-01-01 39239
2012-01-01 40306
2013-01-01 39238
2014-01-01 42322
2015-01-01 43173
2016-01-01 47952
2017-01-01 46301
2018-01-01 44444
2019-01-01 52694
2020-01-01 57303
2021-01-01 57028
2022-01-01 48891

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