Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dona Ana County, NM
Series ID MHICIUBNM35013A052NCEN
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 1:09 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 21499
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25396
1994-01-01 .
1995-01-01 27448
1996-01-01 .
1997-01-01 29077
1998-01-01 30254
1999-01-01 29957
2000-01-01 31726
2001-01-01 31118
2002-01-01 30901
2003-01-01 32022
2004-01-01 32623
2005-01-01 32121
2006-01-01 36073
2007-01-01 37355
2008-01-01 38224
2009-01-01 37810
2010-01-01 37800
2011-01-01 37708
2012-01-01 39382
2013-01-01 39341
2014-01-01 41329
2015-01-01 41788
2016-01-01 41127
2017-01-01 41570
2018-01-01 41641
2019-01-01 46580
2020-01-01 51122
2021-01-01 50751
2022-01-01 56037

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