Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Miguel County, CO
Series ID MHICILBCO08113A052NCEN
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 2:33 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 22409
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28654
1994-01-01 .
1995-01-01 37647
1996-01-01 .
1997-01-01 38428
1998-01-01 39358
1999-01-01 42664
2000-01-01 45407
2001-01-01 45734
2002-01-01 43668
2003-01-01 42313
2004-01-01 43643
2005-01-01 45695
2006-01-01 49758
2007-01-01 53904
2008-01-01 55165
2009-01-01 55173
2010-01-01 57498
2011-01-01 52030
2012-01-01 48379
2013-01-01 48583
2014-01-01 53685
2015-01-01 56339
2016-01-01 60849
2017-01-01 64728
2018-01-01 61933
2019-01-01 70540
2020-01-01 65620
2021-01-01 69970
2022-01-01 82387
2023-01-01 83922

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