Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Morgan County, CO
Series ID MHICIUBCO08087A052NCEN
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 1:53 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 26993
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30775
1994-01-01 .
1995-01-01 32722
1996-01-01 .
1997-01-01 34080
1998-01-01 35838
1999-01-01 36135
2000-01-01 38239
2001-01-01 37373
2002-01-01 36871
2003-01-01 37041
2004-01-01 38745
2005-01-01 38849
2006-01-01 42995
2007-01-01 46951
2008-01-01 46825
2009-01-01 44036
2010-01-01 46605
2011-01-01 44165
2012-01-01 48207
2013-01-01 49846
2014-01-01 51241
2015-01-01 53055
2016-01-01 53547
2017-01-01 55052
2018-01-01 60307
2019-01-01 64029
2020-01-01 66213
2021-01-01 68670
2022-01-01 73457

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