Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Weld County, CO
Series ID MHICIUBCO08123A052NCEN
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 28145
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32356
1994-01-01 .
1995-01-01 35191
1996-01-01 .
1997-01-01 38229
1998-01-01 40531
1999-01-01 42554
2000-01-01 45639
2001-01-01 45695
2002-01-01 46353
2003-01-01 47468
2004-01-01 49048
2005-01-01 50944
2006-01-01 54065
2007-01-01 54467
2008-01-01 58537
2009-01-01 56791
2010-01-01 55252
2011-01-01 54453
2012-01-01 57851
2013-01-01 60452
2014-01-01 64159
2015-01-01 71615
2016-01-01 66368
2017-01-01 71803
2018-01-01 77510
2019-01-01 81809
2020-01-01 83607
2021-01-01 88064
2022-01-01 94856

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