Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Socorro County, NM
Series ID MHICIUBNM35053A052NCEN
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 19917
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23661
1994-01-01 .
1995-01-01 26076
1996-01-01 .
1997-01-01 27174
1998-01-01 27592
1999-01-01 24885
2000-01-01 26046
2001-01-01 25676
2002-01-01 26551
2003-01-01 27499
2004-01-01 28424
2005-01-01 29367
2006-01-01 31560
2007-01-01 33282
2008-01-01 35461
2009-01-01 33527
2010-01-01 33825
2011-01-01 34290
2012-01-01 35435
2013-01-01 34924
2014-01-01 35627
2015-01-01 36921
2016-01-01 36651
2017-01-01 38209
2018-01-01 37562
2019-01-01 43681
2020-01-01 45362
2021-01-01 43438
2022-01-01 47379

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