Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Colfax County, NM
Series ID MHICIUBNM35007A052NCEN
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 20890
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25792
1994-01-01 .
1995-01-01 29311
1996-01-01 .
1997-01-01 30461
1998-01-01 30766
1999-01-01 31295
2000-01-01 33523
2001-01-01 32758
2002-01-01 33083
2003-01-01 33714
2004-01-01 34457
2005-01-01 36907
2006-01-01 37414
2007-01-01 39308
2008-01-01 40055
2009-01-01 42047
2010-01-01 39764
2011-01-01 37150
2012-01-01 40038
2013-01-01 40662
2014-01-01 41080
2015-01-01 40976
2016-01-01 42445
2017-01-01 43634
2018-01-01 45841
2019-01-01 47725
2020-01-01 49724
2021-01-01 47822
2022-01-01 55666
2023-01-01 59896

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