Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Archuleta County, CO
Series ID MHICILBCO08007A052NCEN
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 3:13 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 17446
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23890
1994-01-01 .
1995-01-01 26864
1996-01-01 .
1997-01-01 27403
1998-01-01 29462
1999-01-01 33533
2000-01-01 35409
2001-01-01 34816
2002-01-01 34811
2003-01-01 36284
2004-01-01 38069
2005-01-01 37909
2006-01-01 43009
2007-01-01 48618
2008-01-01 46315
2009-01-01 41893
2010-01-01 42106
2011-01-01 43812
2012-01-01 41826
2013-01-01 40703
2014-01-01 40130
2015-01-01 45389
2016-01-01 46558
2017-01-01 47145
2018-01-01 47971
2019-01-01 51206
2020-01-01 54593
2021-01-01 62476
2022-01-01 58536
2023-01-01 67070

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