Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Los Alamos County, NM
Series ID MHICIUBNM35028A052NCEN
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 61684
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 68695
1994-01-01 .
1995-01-01 70650
1996-01-01 .
1997-01-01 77812
1998-01-01 85569
1999-01-01 87343
2000-01-01 87489
2001-01-01 92815
2002-01-01 99347
2003-01-01 100291
2004-01-01 101490
2005-01-01 100447
2006-01-01 108593
2007-01-01 110116
2008-01-01 111965
2009-01-01 116280
2010-01-01 112509
2011-01-01 121180
2012-01-01 121121
2013-01-01 121143
2014-01-01 117967
2015-01-01 116590
2016-01-01 124668
2017-01-01 127746
2018-01-01 135843
2019-01-01 129701
2020-01-01 127697
2021-01-01 149017
2022-01-01 154160

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