Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for La Plata County, CO
Series ID MHICIUBCO08067A052NCEN
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 1:11 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 27026
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32298
1994-01-01 .
1995-01-01 38320
1996-01-01 .
1997-01-01 39988
1998-01-01 41614
1999-01-01 42017
2000-01-01 44720
2001-01-01 44150
2002-01-01 44597
2003-01-01 45660
2004-01-01 46984
2005-01-01 50407
2006-01-01 53503
2007-01-01 58493
2008-01-01 60199
2009-01-01 60299
2010-01-01 57297
2011-01-01 54799
2012-01-01 59727
2013-01-01 62447
2014-01-01 64628
2015-01-01 63917
2016-01-01 63069
2017-01-01 65822
2018-01-01 71707
2019-01-01 81198
2020-01-01 70704
2021-01-01 79721
2022-01-01 84447

Subscribe to the FRED newsletter


Follow us

Back to Top