Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dolores County, CO
Series ID MHICIUBCO08033A052NCEN
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 23532
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25058
1994-01-01 .
1995-01-01 27855
1996-01-01 .
1997-01-01 29061
1998-01-01 32452
1999-01-01 33141
2000-01-01 34655
2001-01-01 33990
2002-01-01 32375
2003-01-01 34052
2004-01-01 34501
2005-01-01 37321
2006-01-01 39177
2007-01-01 40309
2008-01-01 48020
2009-01-01 47678
2010-01-01 44421
2011-01-01 43748
2012-01-01 43168
2013-01-01 46677
2014-01-01 48956
2015-01-01 49481
2016-01-01 51756
2017-01-01 49801
2018-01-01 52597
2019-01-01 56250
2020-01-01 58766
2021-01-01 62076
2022-01-01 63949
2023-01-01 64436

Subscribe to the FRED newsletter


Follow us

Back to Top