Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Prowers County, CO
Series ID MHICILBCO08099A052NCEN
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 19770
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22666
1994-01-01 .
1995-01-01 23399
1996-01-01 .
1997-01-01 25759
1998-01-01 27096
1999-01-01 27789
2000-01-01 28676
2001-01-01 27948
2002-01-01 27066
2003-01-01 27545
2004-01-01 27735
2005-01-01 28317
2006-01-01 29183
2007-01-01 31238
2008-01-01 32398
2009-01-01 30866
2010-01-01 31268
2011-01-01 33043
2012-01-01 33101
2013-01-01 35423
2014-01-01 35144
2015-01-01 38736
2016-01-01 36088
2017-01-01 37178
2018-01-01 38079
2019-01-01 41912
2020-01-01 42302
2021-01-01 43035
2022-01-01 42827

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