Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Day County, SD
Series ID MHICIUBSD46037A052NCEN
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 20451
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25206
1994-01-01 .
1995-01-01 26962
1996-01-01 .
1997-01-01 29657
1998-01-01 30607
1999-01-01 31651
2000-01-01 33849
2001-01-01 33318
2002-01-01 33299
2003-01-01 34256
2004-01-01 35259
2005-01-01 35896
2006-01-01 35945
2007-01-01 39240
2008-01-01 41300
2009-01-01 40406
2010-01-01 40192
2011-01-01 42639
2012-01-01 45641
2013-01-01 48372
2014-01-01 47920
2015-01-01 49228
2016-01-01 48194
2017-01-01 53369
2018-01-01 52597
2019-01-01 57705
2020-01-01 57468
2021-01-01 63142
2022-01-01 70217

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