Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bent County, CO
Series ID MHICILBCO08011A052NCEN
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 18728
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20283
1994-01-01 .
1995-01-01 21027
1996-01-01 .
1997-01-01 23329
1998-01-01 23297
1999-01-01 25511
2000-01-01 26186
2001-01-01 25599
2002-01-01 24625
2003-01-01 25608
2004-01-01 25790
2005-01-01 27412
2006-01-01 27729
2007-01-01 28848
2008-01-01 29940
2009-01-01 27778
2010-01-01 30631
2011-01-01 32486
2012-01-01 30342
2013-01-01 31107
2014-01-01 31750
2015-01-01 32859
2016-01-01 30552
2017-01-01 33171
2018-01-01 33531
2019-01-01 31469
2020-01-01 46583
2021-01-01 32546
2022-01-01 37672

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