Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kiowa County, CO

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kiowa County, CO
Series ID MHICILBCO08061A052NCEN
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 1:12 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 27326
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26633
1994-01-01 .
1995-01-01 28013
1996-01-01 .
1997-01-01 29094
1998-01-01 28948
1999-01-01 29702
2000-01-01 30348
2001-01-01 29652
2002-01-01 25816
2003-01-01 28494
2004-01-01 26522
2005-01-01 28339
2006-01-01 30029
2007-01-01 30560
2008-01-01 34669
2009-01-01 33016
2010-01-01 33988
2011-01-01 37261
2012-01-01 36238
2013-01-01 38152
2014-01-01 38968
2015-01-01 37805
2016-01-01 39281
2017-01-01 39076
2018-01-01 39928
2019-01-01 41901
2020-01-01 41561
2021-01-01 58657
2022-01-01 48440

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