Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, CO
Series ID MHICIUBCO08073A052NCEN
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 2:32 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 24649
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28789
1994-01-01 .
1995-01-01 32609
1996-01-01 .
1997-01-01 32508
1998-01-01 33690
1999-01-01 33479
2000-01-01 35844
2001-01-01 34279
2002-01-01 32504
2003-01-01 33336
2004-01-01 33746
2005-01-01 37648
2006-01-01 38767
2007-01-01 39884
2008-01-01 44387
2009-01-01 41109
2010-01-01 42792
2011-01-01 46646
2012-01-01 41532
2013-01-01 45597
2014-01-01 45572
2015-01-01 47460
2016-01-01 47240
2017-01-01 50050
2018-01-01 51333
2019-01-01 48182
2020-01-01 57374
2021-01-01 58444
2022-01-01 60755
2023-01-01 65093

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