Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Conejos County, CO
Series ID MHICIUBCO08021A052NCEN
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 1:53 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 16853
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20021
1994-01-01 .
1995-01-01 23499
1996-01-01 .
1997-01-01 23996
1998-01-01 24964
1999-01-01 25753
2000-01-01 27307
2001-01-01 26557
2002-01-01 26759
2003-01-01 28512
2004-01-01 28861
2005-01-01 30569
2006-01-01 31139
2007-01-01 33422
2008-01-01 33780
2009-01-01 31691
2010-01-01 35277
2011-01-01 35749
2012-01-01 34898
2013-01-01 38091
2014-01-01 37255
2015-01-01 40537
2016-01-01 37818
2017-01-01 40800
2018-01-01 42827
2019-01-01 45538
2020-01-01 44596
2021-01-01 51071
2022-01-01 55013

Subscribe to the FRED newsletter


Follow us

Back to Top