Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mesa County, CO
Series ID MHICIUBCO08077A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 25825
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30265
1994-01-01 .
1995-01-01 34432
1996-01-01 .
1997-01-01 36441
1998-01-01 38296
1999-01-01 38021
2000-01-01 39862
2001-01-01 38757
2002-01-01 39560
2003-01-01 40474
2004-01-01 42506
2005-01-01 41474
2006-01-01 45622
2007-01-01 52303
2008-01-01 56937
2009-01-01 54685
2010-01-01 50671
2011-01-01 50619
2012-01-01 49900
2013-01-01 51727
2014-01-01 53491
2015-01-01 53890
2016-01-01 53417
2017-01-01 55883
2018-01-01 54272
2019-01-01 63081
2020-01-01 68488
2021-01-01 67315
2022-01-01 73600
2023-01-01 72532

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