Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mineral County, CO
Series ID MHICILBCO08079A052NCEN
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 1:54 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 17336
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21907
1994-01-01 .
1995-01-01 25070
1996-01-01 .
1997-01-01 26684
1998-01-01 29360
1999-01-01 32074
2000-01-01 33532
2001-01-01 32970
2002-01-01 32372
2003-01-01 34764
2004-01-01 37257
2005-01-01 36389
2006-01-01 38305
2007-01-01 39768
2008-01-01 41670
2009-01-01 38758
2010-01-01 41286
2011-01-01 42029
2012-01-01 42493
2013-01-01 45284
2014-01-01 46416
2015-01-01 45446
2016-01-01 47005
2017-01-01 50037
2018-01-01 53629
2019-01-01 55528
2020-01-01 49962
2021-01-01 54550
2022-01-01 61100

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