Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crowley County, CO
Series ID MHICIUBCO08025A052NCEN
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 3:12 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 19511
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21733
1994-01-01 .
1995-01-01 23538
1996-01-01 .
1997-01-01 26629
1998-01-01 28707
1999-01-01 28096
2000-01-01 29334
2001-01-01 27726
2002-01-01 26055
2003-01-01 25367
2004-01-01 26411
2005-01-01 29680
2006-01-01 31055
2007-01-01 34039
2008-01-01 34760
2009-01-01 32048
2010-01-01 37359
2011-01-01 33457
2012-01-01 33488
2013-01-01 34171
2014-01-01 35788
2015-01-01 39003
2016-01-01 39588
2017-01-01 42173
2018-01-01 39847
2019-01-01 42396
2020-01-01 41684
2021-01-01 42543
2022-01-01 54390
2023-01-01 52373

Subscribe to the FRED newsletter


Follow us

Back to Top