Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Luna County, NM
Series ID MHICIUBNM35029A052NCEN
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 1:51 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 15892
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18295
1994-01-01 .
1995-01-01 21594
1996-01-01 .
1997-01-01 22618
1998-01-01 22414
1999-01-01 21928
2000-01-01 23287
2001-01-01 22520
2002-01-01 23115
2003-01-01 24035
2004-01-01 24448
2005-01-01 25191
2006-01-01 25664
2007-01-01 28383
2008-01-01 30610
2009-01-01 28338
2010-01-01 29693
2011-01-01 30332
2012-01-01 30075
2013-01-01 30518
2014-01-01 30007
2015-01-01 29630
2016-01-01 30752
2017-01-01 33753
2018-01-01 33739
2019-01-01 35641
2020-01-01 43378
2021-01-01 38986
2022-01-01 43576

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