年代分析の見方

年代分析の見方

(1)このレポートでわかること。

月間宿泊実績の各項目について、宿泊者の年代ごとにまとめて表示します。

宿泊延人数については内訳として男女別の人数もあわせて表示します。

最大で過去24ヶ月分の表示が可能です。
エクセルでの出力も可能です。

(2)出力イメージ

829hyo

(3)出力項目の詳細

以下の項目を年代ごと(20歳未満、20歳以上、30歳代、40歳代、50歳代、60歳代以上)ごとに出力します。

平日、休前日それぞれについてデータを表示します。

項目名 出力単位
各年代別 宿泊延室数 「宿泊延室数」
各年代別 宿泊延人数(人泊数) 「宿泊延人数」
各年代別 宿泊延人数_男性 「宿泊延男性人数」
各年代別 宿泊延人数_女性 「宿泊延女性人数」
各年代別 宿泊平均室売上 「宿泊売上」 ÷ 「宿泊延室数」(小数点以下は四捨五入)
各年代別 宿泊1人あたり売上 「宿泊売上」 ÷ 「宿泊延人数」(小数点以下は四捨五入)
各年代別 割合 「宿泊延人数」 ÷ 全世代の「宿泊延人数」のサマリー値 × 100

ダウンロードデータの形式

ダウンロードすると、csv形式で出力されます。出力結果は下記のような順番で出力されています。エクセルで開くことも可能です。
"月間予約者年代分析-平日(2006年8月分)","","","","","","",""
"年代","宿泊延人数(人泊数)","宿泊延室数","宿泊延人数(男性)","宿泊延人数(女性)","宿泊平均室売上(円)","宿泊1件あたり売上(円)","割合"
"20歳未満","150","250","150","100","9245","9400","16.0%"
"20歳代","150","250","150","100","9245","9400","16.0%"
"30歳代","150","250","150","100","9245","9400","16.0%"
"40歳代","150","250","150","100","9245","9400","16.0%"
"50歳代","150","250","150","100","9245","9400","16.0%"
"60歳代以上","150","250","150","100","9245","9400","16.0%"
""
"月間予約者年代分析-休前日(2006年8月分)","","","","","","",""
"年代","宿泊延人数(人泊数)","宿泊延室数","宿泊延人数(男性)","宿泊延人数(女性)","宿泊平均室売上(円)","宿泊1件あたり売上(円)","割合"
"20歳未満","150","250","150","100","9245","9400","16.0%"
"20歳代","150","250","150","100","9245","9400","16.0%"
"30歳代","150","250","150","100","9245","9400","16.0%"
"40歳代","150","250","150","100","9245","9400","16.0%"
"50歳代","150","250","150","100","9245","9400","16.0%"
"60歳代以上","150","250","150","100","9245","9400","16.0%"
↑Pagetop