NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Storey County, NV Series ID: MHICILBNV32029A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 26749 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34060 1994-01-01 . 1995-01-01 43815 1996-01-01 . 1997-01-01 51414 1998-01-01 54855 1999-01-01 42512 2000-01-01 43535 2001-01-01 44580 2002-01-01 45100 2003-01-01 46935 2004-01-01 46024 2005-01-01 46403 2006-01-01 49105 2007-01-01 52576 2008-01-01 58795 2009-01-01 49273 2010-01-01 53032 2011-01-01 49537 2012-01-01 48300 2013-01-01 55255 2014-01-01 49695 2015-01-01 56202 2016-01-01 54540 2017-01-01 55237 2018-01-01 60914 2019-01-01 81402 2020-01-01 62154 2021-01-01 69533 2022-01-01 81181