Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crowley County, CO
Series ID MHICILBCO08025A052NCEN
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 3:13 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 14968
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17114
1994-01-01 .
1995-01-01 17252
1996-01-01 .
1997-01-01 20402
1998-01-01 22185
1999-01-01 24002
2000-01-01 24765
2001-01-01 23447
2002-01-01 22040
2003-01-01 21714
2004-01-01 22607
2005-01-01 24534
2006-01-01 25694
2007-01-01 27753
2008-01-01 28446
2009-01-01 26161
2010-01-01 31779
2011-01-01 27101
2012-01-01 27432
2013-01-01 28783
2014-01-01 29352
2015-01-01 31807
2016-01-01 32158
2017-01-01 34051
2018-01-01 31913
2019-01-01 34052
2020-01-01 31988
2021-01-01 33555
2022-01-01 45180
2023-01-01 41585

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