Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Morgan County, CO
Series ID MHICILBCO08087A052NCEN
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 22451
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26302
1994-01-01 .
1995-01-01 27019
1996-01-01 .
1997-01-01 28299
1998-01-01 30088
1999-01-01 31888
2000-01-01 33233
2001-01-01 32795
2002-01-01 32360
2003-01-01 32869
2004-01-01 34398
2005-01-01 32761
2006-01-01 37537
2007-01-01 40129
2008-01-01 39668
2009-01-01 38845
2010-01-01 39813
2011-01-01 38327
2012-01-01 40947
2013-01-01 42818
2014-01-01 44021
2015-01-01 45119
2016-01-01 44711
2017-01-01 45854
2018-01-01 50467
2019-01-01 51041
2020-01-01 60381
2021-01-01 55028
2022-01-01 57741

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