Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rice County, KS
Series ID MHICIUBKS20159A052NCEN
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 25757
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29323
1994-01-01 .
1995-01-01 30938
1996-01-01 .
1997-01-01 35338
1998-01-01 37054
1999-01-01 37286
2000-01-01 39081
2001-01-01 37587
2002-01-01 36676
2003-01-01 36541
2004-01-01 38597
2005-01-01 40568
2006-01-01 43294
2007-01-01 47436
2008-01-01 47448
2009-01-01 45511
2010-01-01 45540
2011-01-01 49189
2012-01-01 49006
2013-01-01 49494
2014-01-01 54054
2015-01-01 56481
2016-01-01 51809
2017-01-01 56097
2018-01-01 56762
2019-01-01 62312
2020-01-01 66312
2021-01-01 64368
2022-01-01 68918

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