Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Boulder County, CO
Series ID MHICILBCO08013A052NCEN
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 32086
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39530
1994-01-01 .
1995-01-01 43398
1996-01-01 .
1997-01-01 47303
1998-01-01 51579
1999-01-01 52624
2000-01-01 54703
2001-01-01 53530
2002-01-01 52325
2003-01-01 53845
2004-01-01 54596
2005-01-01 55912
2006-01-01 59744
2007-01-01 61365
2008-01-01 64713
2009-01-01 61032
2010-01-01 60193
2011-01-01 64765
2012-01-01 63778
2013-01-01 69489
2014-01-01 68272
2015-01-01 68075
2016-01-01 71623
2017-01-01 77768
2018-01-01 80285
2019-01-01 85141
2020-01-01 83171
2021-01-01 85673
2022-01-01 92300

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