Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Socorro County, NM
Series ID MHICILBNM35053A052NCEN
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 1:11 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 15297
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19068
1994-01-01 .
1995-01-01 19888
1996-01-01 .
1997-01-01 20858
1998-01-01 21398
1999-01-01 21750
2000-01-01 22303
2001-01-01 22262
2002-01-01 22967
2003-01-01 24130
2004-01-01 24934
2005-01-01 24620
2006-01-01 26672
2007-01-01 27167
2008-01-01 29313
2009-01-01 27932
2010-01-01 28683
2011-01-01 28452
2012-01-01 30183
2013-01-01 29256
2014-01-01 28943
2015-01-01 30425
2016-01-01 29827
2017-01-01 31551
2018-01-01 30416
2019-01-01 35483
2020-01-01 33594
2021-01-01 34196
2022-01-01 37181

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