Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Conejos County, CO
Series ID MHICILBCO08021A052NCEN
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 1:54 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 12255
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15406
1994-01-01 .
1995-01-01 17125
1996-01-01 .
1997-01-01 17401
1998-01-01 18523
1999-01-01 22475
2000-01-01 23433
2001-01-01 23103
2002-01-01 23280
2003-01-01 25094
2004-01-01 25403
2005-01-01 25452
2006-01-01 26044
2007-01-01 27484
2008-01-01 27714
2009-01-01 27497
2010-01-01 29231
2011-01-01 29427
2012-01-01 29042
2013-01-01 31755
2014-01-01 30741
2015-01-01 33667
2016-01-01 30962
2017-01-01 32904
2018-01-01 34727
2019-01-01 36350
2020-01-01 35048
2021-01-01 40791
2022-01-01 43269

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