Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Weld County, CO
Series ID MHICILBCO08123A052NCEN
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 1:12 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 23660
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27923
1994-01-01 .
1995-01-01 29546
1996-01-01 .
1997-01-01 32457
1998-01-01 34770
1999-01-01 37567
2000-01-01 39679
2001-01-01 40181
2002-01-01 40778
2003-01-01 42199
2004-01-01 43596
2005-01-01 45732
2006-01-01 50009
2007-01-01 49990
2008-01-01 53153
2009-01-01 52365
2010-01-01 49416
2011-01-01 49093
2012-01-01 52813
2013-01-01 56356
2014-01-01 58843
2015-01-01 67253
2016-01-01 60850
2017-01-01 65555
2018-01-01 73748
2019-01-01 74511
2020-01-01 72267
2021-01-01 81588
2022-01-01 86684

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