Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grant County, NM
Series ID MHICIUBNM35017A052NCEN
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 23572
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25646
1994-01-01 .
1995-01-01 29689
1996-01-01 .
1997-01-01 31758
1998-01-01 33053
1999-01-01 30982
2000-01-01 32580
2001-01-01 30747
2002-01-01 30070
2003-01-01 30144
2004-01-01 31875
2005-01-01 33537
2006-01-01 35733
2007-01-01 36960
2008-01-01 39601
2009-01-01 38163
2010-01-01 39485
2011-01-01 37747
2012-01-01 38841
2013-01-01 41426
2014-01-01 42066
2015-01-01 43104
2016-01-01 43475
2017-01-01 44567
2018-01-01 41868
2019-01-01 47803
2020-01-01 47978
2021-01-01 52042
2022-01-01 51752

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