Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Boulder County, CO
Series ID MHICIUBCO08013A052NCEN
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 2:32 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 36301
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43810
1994-01-01 .
1995-01-01 48984
1996-01-01 .
1997-01-01 53171
1998-01-01 57411
1999-01-01 59785
2000-01-01 62777
2001-01-01 60862
2002-01-01 59528
2003-01-01 60578
2004-01-01 61421
2005-01-01 60756
2006-01-01 64899
2007-01-01 67232
2008-01-01 68807
2009-01-01 66481
2010-01-01 64237
2011-01-01 71437
2012-01-01 70010
2013-01-01 73321
2014-01-01 74820
2015-01-01 76709
2016-01-01 77921
2017-01-01 83634
2018-01-01 86897
2019-01-01 91541
2020-01-01 93407
2021-01-01 94981
2022-01-01 100868
2023-01-01 103691

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