Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for San Juan County, NM
Series ID MHICIUBNM35045A052NCEN
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 24908
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29005
1994-01-01 .
1995-01-01 31916
1996-01-01 .
1997-01-01 33029
1998-01-01 33344
1999-01-01 34347
2000-01-01 36333
2001-01-01 36857
2002-01-01 36760
2003-01-01 38302
2004-01-01 39184
2005-01-01 39270
2006-01-01 42899
2007-01-01 45552
2008-01-01 49057
2009-01-01 48686
2010-01-01 47089
2011-01-01 50166
2012-01-01 47961
2013-01-01 47453
2014-01-01 51024
2015-01-01 52169
2016-01-01 53755
2017-01-01 50830
2018-01-01 50196
2019-01-01 49595
2020-01-01 48701
2021-01-01 54624
2022-01-01 56090

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