Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Luna County, NM
Series ID MHICILBNM35029A052NCEN
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 11278
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13360
1994-01-01 .
1995-01-01 15326
1996-01-01 .
1997-01-01 16061
1998-01-01 15714
1999-01-01 19087
2000-01-01 19935
2001-01-01 19489
2002-01-01 19966
2003-01-01 21060
2004-01-01 21427
2005-01-01 21069
2006-01-01 21690
2007-01-01 23376
2008-01-01 25304
2009-01-01 23329
2010-01-01 24821
2011-01-01 24800
2012-01-01 25629
2013-01-01 25562
2014-01-01 24529
2015-01-01 24672
2016-01-01 25702
2017-01-01 27489
2018-01-01 27401
2019-01-01 29447
2020-01-01 35088
2021-01-01 31094
2022-01-01 34016

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