Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, NM
Series ID MHICIUBNM35027A052NCEN
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 21984
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24451
1994-01-01 .
1995-01-01 27880
1996-01-01 .
1997-01-01 28988
1998-01-01 30191
1999-01-01 32740
2000-01-01 34802
2001-01-01 34149
2002-01-01 34272
2003-01-01 35212
2004-01-01 35883
2005-01-01 38681
2006-01-01 41517
2007-01-01 44052
2008-01-01 45576
2009-01-01 41297
2010-01-01 41809
2011-01-01 43325
2012-01-01 42287
2013-01-01 43020
2014-01-01 44272
2015-01-01 44300
2016-01-01 45222
2017-01-01 51240
2018-01-01 49810
2019-01-01 52929
2020-01-01 55317
2021-01-01 56524
2022-01-01 61103
2023-01-01 66143

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