Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Archuleta County, CO
Series ID MHICIUBCO08007A052NCEN
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 3:12 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 22218
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28443
1994-01-01 .
1995-01-01 33117
1996-01-01 .
1997-01-01 33616
1998-01-01 35738
1999-01-01 38538
2000-01-01 41300
2001-01-01 40020
2002-01-01 40064
2003-01-01 41229
2004-01-01 43282
2005-01-01 45810
2006-01-01 50799
2007-01-01 57781
2008-01-01 55802
2009-01-01 50132
2010-01-01 50224
2011-01-01 52274
2012-01-01 50428
2013-01-01 48131
2014-01-01 48886
2015-01-01 55333
2016-01-01 57438
2017-01-01 57817
2018-01-01 58703
2019-01-01 64002
2020-01-01 73329
2021-01-01 73574
2022-01-01 73514
2023-01-01 81794

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